JP4274760B2 - Map output device, map output method and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To output a map desired by a user on a screen through a conversation by extracting morphemes included in conversation content based on the conversation content made by the user and outputting a corresponding map on the screen by using the extracted morphemes. <P>SOLUTION: A map information search portion 371, a map output instruction retrieve portion 373 and a map output portion 374 are provided. The map information search portion 371 checks first morpheme information and second morpheme information based on the first morpheme information searched by a conversation range determination portion 340 and retrieves the second morpheme information matching with the first morpheme information. The map output instruction retrieve portion 373 retrieves a map output instruction associated with the second morpheme information based on the second morpheme information obtained in the map information search portion 371. The map output portion 374 outputs a map corresponding to the map output instruction on a screen based on the map output instruction obtained from the map output instruction retrieve portion 373. <P>COPYRIGHT: (C)2004,JPO

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a map output device, a map output method, and a program for outputting a map corresponding to an utterance content based on the utterance content uttered by a user.
[0002]
[Prior art]
Conventionally, there is a system for outputting a map desired by a user on a screen. According to this system, a user inputs a condition for displaying a desired map, and a map according to the condition is output on the screen. Therefore, the user can check the map book step by step. There is no advantage.
[0003]
[Problems to be solved by the invention]
However, in the above system, it is necessary to input the conditions for the map desired by the user one by one, and the user feels that the operation is complicated. On the other hand, in recent years, a system has been developed that displays a map corresponding to the utterance content on the screen based on the utterance content uttered by the user. According to this system, since the system can display a map corresponding to the location by speaking the location name of the map desired by the user, the user can eliminate the troublesome operation. it can.
[0004]
However, when the user speaks to the system in the normal conversation format, the system cannot accurately identify which content is the information about the place among the spoken content. The map desired by the user could not be output accurately on the screen.
[0005]
In addition, when the user wants to output a map in the vicinity of the A address α in Tokyo on the screen, the user must speak “A address α in Tokyo A ward”. For this reason, if the user speaks only “Tokyo” (abbreviated form), the above system will only display the map of “Tokyo” and not the map near “A address α address”. It was.
[0006]
Therefore, when there is a place that the user wants to display, the user has to speak all of the current address of the place, and it is not possible to wipe out all the complicated feelings in operation. For this reason, it has been desired to develop a system in which a user can display a corresponding map by designating detailed conditions for displaying a desired map one by one through the dialog through a dialog with the system.
[0007]
Therefore, the present invention has been made in view of the above points, and based on the utterance content uttered by the user, each morpheme included in the utterance content is extracted, and the corresponding morpheme is used using the extracted morpheme. By outputting the map to be displayed on the screen, the map desired by the user is output through the conversation, and the map desired by the user is accurate even if the utterance content spoken by the user is abbreviated. Provided are a map output device, a map output method, and a program that can be output to a computer.
[0008]
[Means for Solving the Problems]
  The present invention has been made to solve the above-mentioned problems, and is a morpheme composed of one character, a plurality of character strings, or a combination thereof.It consists of prefectures, municipalities and street addressesThe second morpheme information is associated with a map output command for outputting a map desired by the user on the screen, and morpheme storage means for storing a plurality of the second morpheme information in advance,
  Character recognition means for identifying a character string indicating the input information based on the input information input by the user;
  Morpheme extraction means for extracting at least one morpheme constituting the minimum unit of the character string based on the character string specified by the character recognition means;
  The morpheme and each second morpheme informationAnd first acquisition means for acquiring the second morpheme information including the morpheme from the second morpheme information,
  Second acquisition means for acquiring the map output command associated with the second morpheme information based on the second morpheme information acquired by the first acquisition means;
  Based on the map output command acquired by the second acquisition unit, an output unit that outputs a prestored map corresponding to the map output command on the screenWhen,
  A plurality of the second morpheme information is associated with the discourse range indicating the morpheme that is related to the input information that will be input from the user or the response content to the user, The map output command is associated with each, and a discourse storage means for storing a plurality of discourse ranges in advance,
  A discourse search that collates the morpheme extracted by the morpheme extraction means with each discourse range stored in advance, and searches the discourse range that matches the morpheme from the discourse ranges as first morpheme information. Means,
  The first acquisition means collates the first morpheme information with each of the second morpheme information based on the first morpheme information searched by the discourse search means, and from among the second morpheme information The map output device, wherein the second morpheme information that matches the first morpheme information is acquired.
[0009]
According to such an invention according to the present application, the map output device acquires each second morpheme information including the morpheme constituting the utterance content of the user from each second morpheme information, and acquires the acquired second morpheme. Since the map output command associated with the second morpheme information is acquired based on the information, and the map corresponding to the map output command is output based on the acquired map output command, the map output device is the utterance content from the user A map related to the morpheme can be output based on the morpheme constituting the morpheme. As a result, if the user speaks toward the map output device, the user can output a map corresponding to the speech, and can refer to the desired map by a simple method.
[0011]
According to such an invention according to the present application, a pre-stored conversation range indicates input information that will be input from the user or a morpheme that is related to the answer content to the user. When the user utters information related to the map toward the map output device, the map output device will try to answer the information related to the map, so the conversation range (category) at this time Means “map”.
[0012]
In this case, when the map output device identifies the discourse range “map” based on the utterance content from the user, the map output device displays each second morpheme information associated with the identified discourse range “map”. And the first morpheme information constituting the utterance content uttered by the user, the second morpheme information matching the first morpheme information is obtained from each second morpheme information, and the obtained first morpheme information is obtained. Since the corresponding map can be output based on the map output command associated with the dimorphic information, refer to the regional map belonging to a specific discourse area (category; map) to output the corresponding map on the screen All you need to do is to output the corresponding map immediately (short time).
[0013]
Further, in the above configuration, each second morpheme information is associated with a discourse range, and a plurality of discourse ranges are associated with a question sentence for retrieving detailed information about a map that the user wants to output. The first morpheme information and the second morpheme information are collated based on the searched first morpheme information, and second morpheme information that matches the first morpheme information is obtained from each second morpheme information. If it cannot be obtained, any one question sentence is obtained from the question sentences associated with each of the discourse ranges included in the first morpheme information.
[0014]
According to such an invention according to the present application, the map output device collates the searched first morpheme information with each second morpheme information, and matches the first morpheme information from each second morpheme information. When the second morpheme information cannot be searched, that is, when the minimum information necessary for outputting the map (second morpheme information) is not included in the first morpheme information, the map output device A question sentence for further embodying the semantic content of the first morpheme information can be output.
[0015]
As a result, the map output device, after clarifying the map information desired by the user based on the answer sentence from the user corresponding to the output question sentence, the clarified information (first morpheme information) Since the corresponding map can be output based on the map, the map desired by the user can be output accurately.
[0016]
Furthermore, in the above configuration, the first morpheme information and each second morpheme information are collated based on the retrieved first morpheme information, and the second morpheme information matches the first morpheme information. When the morpheme information cannot be acquired, each discourse range included in the first morpheme information is temporarily stored, and the answer sentence is based on the answer sentence from the user corresponding to the acquired question sentence. At least one morpheme constituting the minimum unit of the corresponding character string is extracted as an answer morpheme, and the extracted answer morpheme is collated with each pre-stored discourse range. The discourse range to be searched is searched, the searched discourse range and each discourse range temporarily stored are combined, and the combination is used as first morpheme information.
[0017]
According to the invention according to this application, the map output device extracts each morpheme included in the answer sentence as the answer morpheme based on the answer sentence from the user corresponding to the output question sentence, and the extracted answer The morpheme is compared with each pre-stored discourse range, and the discourse range that matches the answer morpheme is searched from each discourse range. The searched discourse range and each temporarily stored discourse range (previous Each of the searched discourse ranges) can be combined to be used as the first morpheme information, so that the map output device can be requested by the user in the searched first morpheme information. If the information necessary for outputting the map is not included, the retrieved first morpheme information can be supplemented using an answer sentence corresponding to the outputted question sentence.
[0018]
As a result, the map output device collates the complemented first morpheme information with the previously stored second morpheme information, and from each second morpheme information, finds the second morpheme information that matches the first morpheme information. Since the search can be performed, the map desired by the user can be output accurately using the supplemented first morpheme information.
[0019]
In the above configuration, a question sentence is associated with each discourse range, and each discourse range is associated with each other in advance so as to have a pre-defined high-order concept or sub-concept relationship. The first morpheme information and each second morpheme information are collated based on the retrieved first morpheme information, and second morpheme information matching the first morpheme information is obtained from each second morpheme information. If not, one discourse range corresponding to the lowest subordinate concept may be selected from each discourse range included in the first morpheme information, and a question sentence associated with the selected discourse range may be acquired. .
[0020]
Thus, the map output device collates the first morpheme information with each second morpheme information based on the retrieved first morpheme information, and the first morpheme information matches the first morpheme information. If dimorphic information cannot be acquired, one discourse range corresponding to the lowest subordinate concept is selected from each discourse range corresponding to the first morpheme information, and is associated with the selected discourse range. Since the question sentence can be acquired, the map output device further provides information on the map desired by the user if the acquired question sentence is a content for further specifying the lowest concept discourse range. It can be clarified.
[0021]
For example, the selected discourse range is “map”, and the question text associated with the discourse range “map” is a content for further clarifying the discourse range “map” “map of any prefecture” Is the answer sentence if the map output device can obtain the answer sentence “I want to see a map of Tokyo” corresponding to the question sentence from the user. Using the morphemes “Tokyo”, “Map”, and “I want to see”, the map desired by the user can be output more accurately.
[0022]
It should be noted that the extracted answer morphemes (each morpheme included in the answer sentence) and each discourse corresponding to a subordinate concept with respect to each temporarily stored discourse range (previously searched discourse ranges) The range is collated, and from each other discourse range, each discourse range that matches the answer morpheme is searched, and each searched discourse range is combined with each temporarily stored discourse range, It is preferable to use the combined information as the first morpheme information.
[0023]
Thus, for example, the previously searched discourse range is “map”, and the discourse ranges corresponding to “subordinate concepts” of the discourse range “map” are “Tokyo”, “Osaka”, and so on. In addition, when the answer sentence corresponding to the question sentence is “I want to see a map of Tokyo”, the map output device displays the answer morphemes “Tokyo”, “Map”, and “I want to see” that constitute the answer sentence. It is possible to collate the discourse ranges “Tokyo”, “Osaka”, etc., corresponding to the subordinate concepts, and search for the discourse range “Tokyo” that matches both. A map corresponding to the second morpheme information matching the first morpheme information is accurately output by combining the searched discourse range “map” and using the combined one as the first morpheme information. be able to.
[0024]
That is, if the first morpheme information constituting the utterance content uttered by the user does not match each second morpheme information, the map output device displays a question sentence associated with the discourse range corresponding to the first morpheme information. The first morpheme information can be complemented based on the answer sentence corresponding to the outputted question sentence and each discourse range corresponding to the “subordinate concept” of each discourse range previously searched. Therefore, if the first morpheme information before complementation (for example, a map) is a superordinate concept, the first morpheme information (for example, a map, Tokyo) that becomes a subordinate concept with respect to the superordinate concept can be complemented. Based on the supplemented first morpheme information, a map desired by the user (for example, a map of Tokyo) can be output more accurately.
[0025]
DETAILED DESCRIPTION OF THE INVENTION
[First embodiment]
(Basic configuration of conversation control system)
A conversation control system according to the present invention will be described with reference to the drawings. FIG. 1 is a schematic configuration diagram of a conversation control system having a conversation control apparatus 1 according to the present embodiment.
[0026]
As shown in the figure, the conversation control device 1 includes an input unit 100, a speech recognition unit 200, a conversation control unit 300, a sentence analysis unit 400, a conversation database 500, an output unit 600, and a speech recognition dictionary storage. Part 700.
[0027]
In the present embodiment, for convenience of explanation, the description is limited to the user's utterance content (this utterance content is a kind of input information), but is not limited to the user's utterance content, and the keyboard. The input information may be input from the above. Therefore, the “utterance content” shown below can be described by replacing “utterance content” with “input information”.
[0028]
Similarly, in the following description, for convenience of explanation, the description will be limited to the “spoken sentence type” (speech type), but is not limited to this “spoken sentence type”, and input from a keyboard or the like. It may be an “input type” indicating the type of input information. Accordingly, the following “speech sentence type” (speech type) can be described by replacing “speech type” with “input type”.
[0029]
The input unit 100 is an acquisition unit that acquires input information from a user. In the present embodiment, a microphone, a keyboard, and the like are used. The input unit 100 is also a character recognition unit that specifies a character string indicating input information based on input information input from a user.
[0030]
Here, the input information means characters, symbols, voices and the like input through a keyboard or the like. Specifically, the input unit 100 acquires user input information (other than voice), and outputs the acquired input information to the conversation control unit 300. Further, the input unit 100 that has acquired the utterance content from the user (the utterance content is composed of voice and is a kind of input information) with a microphone or the like, the voice constituting the acquired utterance content is a voice signal. To the voice recognition unit 200.
[0031]
The voice recognition unit 200 is a character recognition unit that identifies a character string corresponding to the utterance content based on the utterance content acquired by the input unit 100. Specifically, the speech recognition unit 200 to which a speech signal is input from the input unit 100 analyzes the input speech signal, and a character string corresponding to the analyzed speech signal is stored in the speech recognition dictionary storage unit 700. The specified character string is output to the conversation control unit 300 as a character string signal. The speech recognition dictionary storage unit 700 stores a dictionary corresponding to standard speech signals.
[0032]
The sentence analysis unit 400 analyzes a character string specified by the input unit 100 or the speech recognition unit 200. In the present embodiment, as shown in FIG. 2, a morpheme extraction unit 410 and a phrase analysis unit 420 are included. A sentence structure analysis unit 430, an utterance type determination unit 440, a morpheme database 450, and an utterance type database 460.
[0033]
The morpheme extraction unit 410 is a morpheme extraction unit that extracts each morpheme constituting a minimum unit of a character string as first morpheme information based on the character string specified by the input unit 100 or the speech recognition unit 200.
[0034]
Specifically, the morpheme extraction unit 410 to which the character string signal is input from the management unit 310 extracts each morpheme from the character string corresponding to the input character string signal. Here, in this embodiment, the morpheme means the minimum unit of the word structure represented in the character string. As the minimum unit of the word structure, as shown in FIG. 3, for example, parts of speech such as nouns, adjectives and verbs can be cited. In the present embodiment, each morpheme is expressed as m1, m2,.
[0035]
That is, the morpheme extraction unit 410 collates a character string corresponding to the input character string signal with a morpheme group such as nouns, adjectives, and verbs stored in advance in the morpheme database 450, and the morpheme is extracted from the character string. Each morpheme (m1, m2,...) That matches the group is extracted, and each extracted morpheme is output to the phrase analysis unit 420 as an extraction signal.
[0036]
The phrase analysis unit 420 is a conversion unit that converts each morpheme into a phrase format based on each morpheme extracted by the morpheme extraction unit 410. Specifically, the phrase analysis unit 420 to which the extraction signal is input from the morpheme extraction unit 410 uses the morphemes corresponding to the input extraction signal to combine them into a phrase format.
[0037]
Here, in this embodiment, the phrase format is a sentence in which the independent grammar or one or more attached words are attached to the independent grammar in the Japanese grammar, or a character string that does not destroy the meaning of the Japanese grammar. Means a sentence that is separated as finely as possible. This clause is expressed as p1, p2,... Pk in this embodiment.
[0038]
That is, the phrase analysis unit 420, as shown in FIG. 4, based on each morpheme corresponding to the input extracted signal, the dependency element of each morpheme (for example, (m2), (m4), (m5) ) ・ ・） Is extracted, and each morpheme is grouped into each phrase based on the extracted dependency elements. “T” shown in the figure means transposition.
[0039]
The phrase analysis unit 420 that collects each morpheme into each phrase includes a sentence structure analysis unit 430 and an utterance type determination unit 440 using sentence pattern information including each phrase that combines each morpheme and each morpheme constituting each phrase as a sentence pattern signal. Output to.
[0040]
The sentence structure analysis unit 430 is a classification unit that classifies each morpheme of the first morpheme information segmented by the phrase analysis unit 420 into attributes such as subject case and target case. Specifically, the sentence structure analysis unit 430, to which the sentence pattern signal is input from the phrase analysis unit 420, determines each morpheme included in the phrase based on each morpheme corresponding to the input sentence pattern signal and the phrase composed of each morpheme. Determine the “case composition”.
[0041]
Here, the “case structure” means a case (attribute) indicating a substantial concept in the clause. In the present embodiment, for example, a subject (subject) that represents a subject / subject, Examples include a meaning object (target case), an action meaning an action, a time meaning (tense, aspect), a location meaning a place, and the like. In this embodiment, each morpheme associated with the “case” (case configuration) of the three elements of the subject, the object, and the action is used as the first morpheme information.
[0042]
That is, as shown in FIG. 5, for example, when the dependency element of each morpheme is “” or “is”, the sentence structure analysis unit 430 applies the subject (subject) to the morpheme before the dependency element. Or a leading character). In addition, the sentence structure analysis unit 430
For example, if the dependency element of each morpheme is “NO” or “NO”, it is determined that the morpheme before the dependency element is an object (target).
[0043]
Further, for example, when the dependency element of each morpheme is “Yes”, the sentence structure analysis unit 430 includes an action (predicate; this predicate is composed of a verb, an adjective, and the like). It is determined that
[0044]
The sentence structure analysis unit 430 that has determined the “case structure” of each morpheme that constitutes each clause determines the range of topics (topics) to be described later based on the first morpheme information associated with the determined “case structure”. A topic search command signal for specifying is output to the reflective determination unit 320.
[0045]
The utterance type determination unit 440 is a type specifying unit that specifies an utterance type (input type) indicating the type of utterance content (input information) based on the phrase specified by the phrase analysis unit 420. Specifically, “speech sentence type” (speech type) is determined based on each morpheme corresponding to the sentence pattern signal input from the phrase analysis unit 420 and a phrase composed of each morpheme.
[0046]
In this embodiment, as shown in FIG. 6, the “spoken sentence type” is a statement sentence (D; Declaration), an impression sentence (I; Impression), a conditional sentence (C; Condition), and a result sentence ( E; Effect, time sentence (T; Time), location sentence (L; Location), repulsive sentence (N; Negation), and the like.
[0047]
The statement sentence means a sentence composed of a user's opinion or idea, and in this embodiment, as shown in FIG. 6, for example, a sentence such as “I like Sato” can be cited. An impression sentence means the sentence which consists of an impression which a user holds. A place sentence means a sentence made up of place elements.
[0048]
A result sentence means a sentence composed of sentences including a result element for a topic. A time sentence means a sentence composed of sentences including temporal elements related to a topic.
[0049]
The conditional sentence means a sentence composed of sentences including elements such as a premise of a topic, a condition and a reason why the topic is established, when one utterance is regarded as a topic. The repulsive sentence means a sentence composed of a sentence including an element that repels the utterance partner. An example sentence for each “spoken sentence type” is as shown in FIG.
[0050]
That is, the utterance type determination unit 440 collates each phrase with each dictionary stored in the utterance type database 460 based on each phrase corresponding to the input sentence pattern signal, and from each phrase, Extract sentence elements related to the dictionary. The utterance type determination unit 440 that extracts sentence elements related to each dictionary from each phrase determines “spoken sentence type” based on the extracted sentence elements. The sentence element means a type for identifying the type of character string, and the sentence element in the present embodiment includes the above-described definition phrase (which means “-”).
[0051]
Here, as shown in FIG. 7, the utterance type database 460 includes a definition expression example dictionary having a dictionary related to a definition phrase (for example,), an affirmative phrase (for example, approval, sympathy, ping pong). positive cases dictionary with a dictionary related to, a result clause (for example, so, so) the results representation case dictionary with a dictionary related to, greeting clause (for example, Hello) greeting case dictionary with a dictionary related to, It is composed of a negative example dictionary having a dictionary related to a negative phrase (for example, it is not idiot, the opposite), and each dictionary is associated with “type of spoken sentence”.
[0052]
As a result, the utterance type determination unit 440 compares the phrase with each dictionary stored in the utterance type database 460, extracts the sentence element related to each dictionary from the phrase, and associates it with the extracted sentence element. The “spoken sentence type” can be determined by referring to the determined type.
[0053]
The utterance type determination unit 440 outputs an answer search command signal for causing the corresponding user to search for a specific answer sentence to the answer sentence search unit 370 based on an instruction from the topic search unit 360 described later.
[0054]
The conversation database 500 stores in advance a plurality of second morpheme information indicating each morpheme composed of one character, a plurality of character strings, or a combination thereof, and a plurality of reply contents to the user with respect to the utterance contents. Storage means (discourse storage means). The conversation database 500 is also an answer storage unit (discourse storage unit) that stores in advance a plurality of answer types indicating the types of answer contents associated with a plurality of answer contents in association with the second morpheme information.
[0055]
Furthermore, the conversation database 500 stores in advance a plurality of discourse ranges (keywords) indicating morphemes that constitute a range relevant to the input content that will be input by the user or the response content to the user. But there is. A plurality of second morpheme information indicating a morpheme made up of one character, a plurality of character strings, or a combination thereof is associated with the discourse range (keyword), and each second morpheme information includes a response content to the user. Associated with each.
[0056]
Furthermore, the conversation database 500 is also an answer storage means (discourse storage means) for classifying and storing each element constituting the second morpheme information into attributes such as each subject consisting of a main case and a target case consisting of a target case. .
[0057]
As shown in FIG. 8, in the present embodiment, the conversation database 500 is roughly divided in the present embodiment, which means a range that is related to the content of the speech that will be spoken by the user or the content of the response to the user. It consists of a range (discourse) and a topic (topic) that means a range that is most closely related to the content the user is speaking. As shown in the figure, “discourse range” is positioned as a superordinate concept of “topic” in the present embodiment.
[0058]
Each discourse range can be configured to have a hierarchical structure as shown in FIG. As shown in the figure, for example, a higher level discourse range (entertainment) for a certain discourse range (movie) is positioned in the upper hierarchical structure, and a lower level discourse range (movie) for the discourse range (movie). The attribute (movie) can be located in the lower hierarchical structure. That is, in the present embodiment, each discourse range can be arranged at a hierarchical position where the relationship between the higher concept, the lower concept, the synonym, and the synonym becomes clear with other discourse ranges.
[0059]
As described above, the discourse range is composed of topics, and in this embodiment, for example, if the discourse range is an A movie name, it includes a plurality of topics related to the A movie name.
[0060]
This topic means a morpheme composed of a single character, a plurality of character strings, or a combination thereof, that is, each morpheme constituting speech content that will be uttered by the user. Each morpheme is associated with a subject (subject), an object (target case), and an action “case” (attribute). In this embodiment, each morpheme associated with these three elements is expressed as a topic title (this topic title corresponds to a subordinate concept of “topic”) (second morpheme information). .
[0061]
The topic title is not limited to each morpheme associated with the above three elements, but other “cases”, that is, time (tense, aspect) meaning time, location meaning place, You may have each morpheme matched with the condition which means a condition, the impression which means an impression, the effect which means a result, etc.
[0062]
In this embodiment, the topic title (second morpheme information) is stored in advance in the conversation database 500, and the first morpheme information (derived from the utterance content uttered by the user) is It is a distinction.
[0063]
For example, if the talk range is “A movie name”, as shown in FIG. 10, the subject title is subject (A movie name), object (director), action (great) {this is “A movie name” The director of the name is composed of "meaning great".
[0064]
If there is no morpheme associated with “case composition” (subject, object, action, etc.) among the topic titles, “*” is indicated for the portion in the present embodiment.
[0065]
For example, {A What is a movie name? } Is converted into a topic title (subject; object; action). }, “A movie name” can be specified as a subject, but “object” and “action” are not elements of the sentence, so the topic title is “subject” (A movie name). “No object” (*); “No action” (*) (see FIG. 10).
[0066]
The answer sentence means an answer sentence (answer contents) to be answered to the user, and is associated with each topic title (second morpheme information) in this embodiment (see FIG. 8). In this embodiment, as shown in FIG. 11, the answer sentence is a statement sentence (D; Declaration), an impression sentence in order to make an answer corresponding to the type of utterance sentence uttered by the user. Types such as (I; Impression), conditional statement (C; Condition), result statement (E; Effect), time statement (T; Time), location statement (L; Location), negative statement (N; Negation) Type).
[0067]
That is, as shown in FIG. 12, each answer sentence is associated with, for example, a discourse range (Sato) {subordinate concept; home run, superordinate concept; grass baseball, synonym; panda Sato, Sato player, panda} and each topic title. It has been.
[0068]
As shown in the figure, for example, the topic title 1-1 is {(Sato; *; I like): this consists of the order of (subject; object; action) as described above. If the order is the same below, the answer sentence 1-1 corresponding to the topic title 1-1 is (DA; statement affirmation “I like Sato”), (IA; comment affirmation) “I like Sato very much”), (CA; conditional affirmation “Sato ’s home run is very impressive”), (EA; a result affirming “I always watch Sato's games on TV”), (TA: Time affirmative sentence "I actually like it from the five-bats continual refrain in Koshien"), (LA; Place affirmative sentence "I like the serious face when standing on the blow"), (NA A repulsive affirmative sentence "I don't want to talk to people who don't like Sato, goodbye").
[0069]
In the present embodiment, as shown in FIG. 2, the conversation control unit 300 includes a management unit 310, a reflexive determination unit 320, a turnback determination unit 330, a discourse range determination unit 340, and an abbreviated sentence complement unit 350. , A topic search unit 360 and an answer sentence search unit 370.
[0070]
The management unit 310 controls the entire conversation control unit 300. Specifically, the management unit 310 to which a character string is input from the input unit 100 or the voice recognition unit 200 outputs the input character string to the morpheme extraction unit 410 as a character string signal. In addition, the management unit 310 outputs the answer sentence searched by the answer sentence search unit 370 to the output unit 600.
[0071]
The reflexive determination unit 320 is a fixed form acquisition unit that collates the first morpheme information extracted by the morpheme extraction unit 410 with each fixed content, and searches the fixed content including the first morpheme information from each fixed content. .
[0072]
Here, the standard content means reflection element information for replying a standard content to the utterance content from the user, and this reflection element information is stored in the reflection element database 801 (standard storage means) in advance. A plurality are stored. As the reflective element information, in the present embodiment, as shown in FIG. 13, for example, "Good morning", "Hello", "Good evening", "greeting elements" such as "Hey", "I see", "Really?" "Typical elements" such as
[0073]
Specifically, the reflexive determination unit 320 to which the topic search command signal is input from the sentence structure analysis unit 430 receives the first morpheme information included in the input topic search command signal and the reflection element database 801. The reflection element information is collated, the reflection element information including the first morpheme information is searched from the reflection element information, and the searched reflection element information is output to the management unit 310.
[0074]
That is, assuming that the reflection element information is D1 and the first morpheme information is W, the reflective determination unit 320 determines that the relationship of W∩D1 ≠ φ (φ; empty set) is established. Process to give a typical answer.
[0075]
For example, when the user utters the utterance content “Good morning”, the reflexive determination unit 320 collates the utterance content “Good morning” with each reflection element information, and the utterance content from each reflection element information. The reflection element information “good morning” including (matching) “good morning” is searched, and the searched reflection element information “good morning” is output to the management unit 310.
[0076]
When the reflection determination unit 320 cannot search the reflection element information including the utterance content from the reflection element information, the reflex determination unit 320 returns the topic search command signal input from the sentence structure analysis unit 430. Output to.
[0077]
The return determination unit 330 collates the current first morpheme information extracted by the morpheme extraction unit 410 with the past response content stored in the return element database 802, and the current first morpheme information is a past response. If included in the content, it is a fixed form acquisition means for acquiring the content of the agreement.
[0078]
Here, “turnback” means to say back the content of the user's utterance as it is (or content close to it) in this embodiment. In the present embodiment, the return element is made up of first morpheme information that constitutes the response content output from the conversation control device 1 immediately before. For example, as shown in FIG. (Horse; *; beautiful), “I like Sato” (Sato; *; I like).
[0079]
Further, the return element database 802 is also an agreement storage means for preliminarily storing agreement contents for agreeing to input information input by the user. The content of the agreement includes, for example, the input information previously input by the user (if the previous input information by the user is “A film name director is Mr. S”, the content of the agreement is “ The director of the A movie name is Mr. S)), or “Yes”, “It is true”.
[0080]
Specifically, the return determination unit 330 to which the topic search command signal is input from the reflective determination unit 320 configures the first morpheme information and the return element included in the input topic search command signal for each return element. Each morpheme is collated, and it is determined whether or not the first morpheme information is included in the return element (see FIG. 14).
[0081]
If it is determined that the first morpheme information is included in each return element, the return determination unit 330 acquires the content of the agreement and outputs an answer sentence including the acquired content of the agreement to the management unit 310 (return) Process). That is, assuming that the return element (such as the previous answer sentence) is S and the first morpheme information is W, the return determination unit 330 indicates the above when the relationship of W⊂S and W ≠ φ is established. Performs a reversal process.
[0082]
For example, the conversation control device 1 responds with “The director of the A movie name is Mr. S” (Director of the A movie name; Mr. S; *) (the order is the subject, the object, the order of the action, and so on. ) Is output, and then the user responds with a response if the utterance is “is the director of A movie name Mr. S” (director of A movie name; Mr. S; *)? Since the determination unit 330 matches the first morpheme information of the user (Director of A movie name; Mr. S; *) and each morpheme of the answer sentence (Director of A movie name; Mr. S; *), The user concludes that he / she is replying to the contents of the reply, obtains the stored agreement contents “Yes”, and outputs the obtained agreement contents.
[0083]
Further, the return determination unit 330 collates the current first morpheme information extracted by the morpheme extraction unit 410 with the past first morpheme information stored in the return element database 802 to obtain the current first morpheme information. Is included in the past first morpheme information, it is also a fixed form acquisition means for acquiring the repulsion content.
[0084]
Specifically, when the user utters the utterance content “Horse is beautiful” and the conversation control device 1 outputs the content “Horse is good” as the response content When the person repeats the utterance content that “the horse is beautiful”, the turn-back determination unit 330 determines that each morpheme (first morpheme information) {horse; *; beautiful} constituting the current utterance content “horse is beautiful” Each morpheme (first morpheme information) {horse; *; beautiful} that constitutes the content of the previous utterance “Horse is beautiful” matches the content of the response from the conversation control device 1 to the user. You can conclude that you have not heard at all about "I feel good."
[0085]
In this case, since the user has not heard the response content from the conversation control device 1, the return determination unit 330 acquires the stored repulsion content (for example, do not repeat the same content), and the acquired repulsion The contents can be output.
[0086]
On the other hand, if the reversion determining unit 330 determines that the first morpheme information is the same as the content of the previous answer sentence or the first morpheme information is not the same as the previous first morpheme information, the reflex determination unit 320 The input topic search command signal is output to the conversation range determination unit 340.
[0087]
In addition, although the said return determination part 330 has shown the process in case a user makes a return with respect to "the reply content of the conversation control apparatus 1," the following processes can also be performed. For example, when the output unit 600 outputs an answer sentence “Horse is beautiful”, the user answers “Why is the horse beautiful?”, “Why is it beautiful?”, Or “Why?” This is a process of the turn-back determination unit 330 performed when the utterance is made.
[0088]
In this case, the return determination unit 330 outputs the response sentence S “the horse is beautiful” and the utterance content W from the user (“Why is the horse beautiful? (Question sentence)” or “Why is it beautiful? (Question sentence) ”), (W−c) ⊂S, S ≠ φ, c ≠ φ (where c means the utterance type of W, and this utterance type is determined by the utterance type determination unit 440 described later. As will be described later, for example, a question sentence can be cited as an utterance type, so a “conditional” reversal processing (the user asks the question contents for the answer contents). (Processing when a flip is performed).
[0089]
For example, when the conversation control device 1 outputs an answer sentence “The horse is beautiful”, the above-mentioned user utters the content of the utterance “Why is the horse beautiful?”. At that time, in order to resolve the user's question, the return determination unit 330 acquires an answer sentence such as “Even the horse is not beautiful” from the return element database 802, and the acquired answer sentence is sent to the management unit 310. Perform output processing.
[0090]
The discourse range determination unit 340 collates the first morpheme extracted by the phrase analysis unit 420 with each discourse range, and searches the discourse range for a discourse range that matches the morpheme included in the first morpheme information. It is a discourse search means.
[0091]
Specifically, the conversation range determination unit 340 to which the topic search command signal is input from the turn-back determination unit 330 determines the user's conversation range based on the input talk search command signal. That is, based on the input search command signal, the conversation range determination unit 340 searches the conversation database 500 for a range (discourse range) relevant to the content spoken by the user.
[0092]
For example, the discourse range determination unit 340 includes the first morpheme information included in the input topic search command signal (an interesting movie; *; is there) {is there an interesting movie? }, The first morpheme information is compared with the discourse range group, and if the discourse range group includes a morpheme (for example, “movie”) constituting the first morpheme information, The “movie” included in the information is determined as the discourse range. In this case, since the discourse range “movie” is included in the first morpheme information, the discourse range determination unit 340 includes the input first morpheme information in the topic search command signal and outputs it to the topic search unit 360.
[0093]
On the other hand, when the first morpheme information does not include a discourse range group, the conversation range determination unit 340 includes the input first morpheme information in the topic search command signal and outputs it to the abbreviated sentence complement unit 350.
[0094]
Thereby, the topic search unit 360 described later collates each “topic title” belonging to the “discourse range” determined by the conversation range determination unit 340 with the first morpheme information specified by the sentence structure analysis unit 430. Therefore, it is unnecessary to collate “all” “topic titles” (second morpheme information) with the first morpheme information, and the answer sentence search unit 370 to be described later will search for the final answer sentence. Can be shortened.
[0095]
As described above, the discourse range determination unit 340 collates the first morpheme information and the discourse range group, and if the discourse range group includes the morpheme of the first morpheme information, determines the morpheme as the discourse range. However, the present invention is not limited to this, and the morpheme of the return element retrieved immediately by the return determination unit 330 or the morpheme constituting the utterance content uttered by the user may be determined as the discourse range. . The abbreviated sentence complementing unit 350, which will be described later, can add the discourse range to the first morpheme information from which the morpheme is omitted, using the discourse range determined by the discourse range determination unit 340.
[0096]
The abbreviated sentence complementing unit 350 searches the attributes (subjects, objects, actions, etc.) constituting the first morpheme information based on the first morpheme information extracted by the phrase analysis unit 420 for attributes that do not include a morpheme. Attribute search means. The abbreviated sentence complementing unit 350 is also a morpheme adding unit that adds a morpheme constituting the discourse range searched by the discourse range determining unit 340 to the attribute based on the searched attribute.
[0097]
Specifically, the abbreviated sentence complementing unit 350 to which the topic search command signal is input from the discourse range determination unit 340 is based on the first morpheme information included in the input discourse search command signal, and the utterance including the first morpheme information. It is determined whether or not the content is an abbreviated sentence. If the utterance content including the first morpheme information is an abbreviated sentence, the morpheme in the discourse range to which the first morpheme information belongs is added to the first morpheme information.
[0098]
For example, the abbreviation sentence complementing unit 350 has a morpheme constituting the first morpheme information included in the input topic search command signal (director; *; *) (director?) (This sentence is “what” director If it is unknown, it means an abbreviated sentence.), The discourse range determined by the discourse range determination unit 340 (A movie name; this A movie name indicates the title of the movie) If it is the first morpheme information belonging to A), the determined discourse range (A movie name) is added to the first morpheme information to the morpheme constituting the first morpheme information (director of “A movie name”; *; *) Yes.
[0099]
That is, assuming that the first morpheme information is W and the determined discourse range is D, the abbreviated sentence complementing unit 350 adds the discourse range D to W and includes the added first morpheme information in the topic search command signal. The information is output to the topic search unit 360.
[0100]
Thereby, even if the first morpheme information is an abbreviated sentence and it is not clear as Japanese, the abbreviated sentence complementing unit 350, when the first morpheme information belongs to a certain discourse range, for example, The discourse range D (A movie name) is added to the first morpheme information W (director; *; *), and the first morpheme information is added to W ′ (A movie name director; *; *). ? }, Even if the user's utterance content is an abbreviated sentence, the abbreviated sentence can be supplemented based on the previously determined discourse range, and the abbreviated sentence should be clarified Can do.
[0101]
For this reason, the first morpheme information is set so that the abbreviated sentence complementing unit 350 has the proper utterance contents constituting the first morpheme information even if the utterance contents constituting the first morpheme information are abbreviated sentences. Since the specific morpheme can be complemented, the topic search unit 360 acquires the optimal “topic title” (second morpheme information) related to the first morpheme information based on the first morpheme information after the complement. The answer sentence search unit 370 can output the answer content more suitable for the user's utterance content based on the “topic title” acquired by the topic search unit 360.
[0102]
The topic search unit 360 collates the first morpheme information extracted by the phrase analysis unit 420 or the first morpheme information supplemented by the abbreviated sentence complement unit 350 with each second morpheme information, It is a search means for searching second morpheme information including morphemes constituting the first morpheme information.
[0103]
Specifically, the topic search unit 360 to which the topic search command signal is input from the talk range determination unit 340 or the abbreviated sentence complement unit 350 is based on the first morpheme information included in the input topic search command signal. The “topic title” including the morpheme of the first morpheme information is searched from each “topic title” (second morpheme information) belonging to the discourse range determined by the determination unit 340, and the search result is used as a search result signal. The information is output to the answer sentence search unit 370 and the utterance type determination unit 440.
[0104]
For example, when the “case configuration” constituting the first morpheme information is (Sato; *; I like) {I like Sato}, the topic search unit 360, as shown in FIG. Each morpheme (Sato; *; I like) belonging to the “composition” is compared with each topic title 1-1 to 1-4 belonging to the discourse range (Sato), and from among the topic titles 1-1 to 1-4 A topic title 1-1 (Sato; *; likes) that matches (or approximates) each morpheme (Sato; *; likes) belonging to the “case composition” is searched, and this search result is used as a search result signal as a response sentence. The data is output to the search unit 370 and the utterance type determination unit 440.
[0105]
The utterance type determination unit 440 to which the search result signal is input from the topic search unit 360, based on the input search result signal, an answer search command for searching for a specific answer sentence that answers to the corresponding user. A signal (this answer search command signal also includes the determined “sentence type”) is output to the answer sentence search unit 370.
[0106]
The answer sentence search unit 370 is an answer acquisition unit that acquires an answer sentence associated with the second morpheme information based on the second morpheme information (topic title) searched by the topic search unit 360. In addition, the answer sentence search unit 370 collates the utterance type of the identified user with each answer type associated with the second morpheme information based on the second morpheme information searched by the topic search unit 360, It is also a second search means for searching for an answer type that matches the user's utterance type from among the answer types.
[0107]
Specifically, the answer sentence search unit 370, to which the search result signal from the topic search unit 360 and the answer search command signal from the utterance type determination unit 440 are input, the topic title (search result) corresponding to the input search result signal. Based on the second morpheme information) and the “speech sentence type” (utterance type) corresponding to the answer search command signal, the answer sentence group (each answer content) associated with the “topic title”. Among them, an answer sentence having an answer type (this answer type means “type of answer sentence” shown in FIG. 11) that matches the “sentence sentence type” (DA, IA, CA, etc.) is searched.
[0108]
For example, when the topic title corresponding to the search result is the topic title 1-1 (Sato; *; I like) shown in FIG. 12, the answer sentence search unit 370 is associated with the topic title 1-1. Of the reply sentences 1-1 (DA, IA, CA, etc.), the reply composed of the reply type (DA) that matches the “spoken sentence type” (for example, DA; utterance type) determined by the utterance type determination unit 440. The sentence 1-1 (DA; (I also like Sato) is searched), and the searched answer sentence is output to the management unit 310 as an answer sentence signal.
[0109]
The management unit 310 to which the answer sentence signal is input from the answer sentence search unit 370 outputs the input answer sentence signal to the output unit 600. In addition, the management unit 310 to which the reflection element information is input from the reflective determination unit 320 or the contents of the turn-back process from the turn-back determination unit 330, the answer sentence corresponding to the input reflection element information, the content of the turn-back process that is input To the output unit 600.
[0110]
The output unit 600 is an output unit that outputs the answer text acquired by the answer text search unit 370. In this embodiment, for example, a speaker, a display, and the like can be given. Specifically, the output unit 600 to which an answer sentence is input from the management unit 310 outputs the input answer sentence {for example, I also like Sato}.
[0111]
(Conversation control method using conversation control device)
The conversation control method by the conversation control apparatus 1 having the above configuration can be implemented by the following procedure. FIG. 15 is a flowchart showing the procedure of the conversation control method according to the present embodiment.
[0112]
First, the input unit 100 performs a step of acquiring the utterance content from the user (S101). Specifically, the input unit 100 acquires the voice that constitutes the utterance content of the user, and outputs the acquired voice to the voice recognition unit 200 as a voice signal. Further, the input unit 100 identifies a character string corresponding to the input information (other than the voice) based on the input information (other than the voice) input from the user, and the conversation control unit uses the identified character string as a character string signal. Output to 300.
[0113]
Next, the voice recognition unit 200 performs a step of specifying a character string corresponding to the utterance content based on the utterance content acquired by the input unit 100 (S102). Specifically, the speech recognition unit 200 to which a speech signal is input from the input unit 100 analyzes the input speech signal, and a character string corresponding to the analyzed speech signal is stored in the speech recognition dictionary storage unit 700. The specified character string is output to the conversation control unit 300 as a character string signal.
[0114]
And the morpheme extraction part 410 performs the step which extracts each morpheme which comprises the minimum unit of a character string as 1st morpheme information based on the character string specified by the speech recognition part 200 (S103).
[0115]
Specifically, the morpheme extraction unit 410 to which the character string signal is input from the management unit 310 includes a character string corresponding to the input character string signal and nouns, adjectives, verbs, and the like stored in advance in the morpheme database 450. The morpheme group is collated, each morpheme (m1, m2,...) Matching the morpheme group is extracted from the character string, and each extracted morpheme is output to the phrase analysis unit 420 as an extraction signal.
[0116]
Then, the phrase analysis unit 420 performs a step of grouping each morpheme into a phrase format based on each morpheme extracted by the morpheme extraction unit 410 (S104). Specifically, the phrase analysis unit 420 to which the extraction signal is input from the morpheme extraction unit 410 uses the morphemes corresponding to the input extraction signal to combine them into a phrase format.
[0117]
That is, as shown in FIG. 4, the phrase analysis unit 420 extracts and extracts the dependency elements (for example, gahahahahaha ...) of each morpheme based on each morpheme corresponding to the input extraction signal. Each morpheme is grouped into each clause based on the dependency element. The phrase analysis unit 420 that collects each morpheme into each phrase includes a sentence structure analysis unit 430 and an utterance type determination unit 440 using sentence pattern information including each phrase that combines each morpheme and each morpheme constituting each phrase as a sentence pattern signal. Output to.
[0118]
Thereafter, the sentence structure analysis unit 430 performs a step of classifying each morpheme of the first morpheme information segmented by the phrase analysis unit 420 into attributes such as subject case and target case (S105). Specifically, the sentence structure analysis unit 430, to which the sentence pattern signal is input from the phrase analysis unit 420, determines each morpheme included in the phrase based on each morpheme corresponding to the input sentence pattern signal and the phrase composed of each morpheme. Determine the “case composition”.
[0119]
That is, as shown in FIG. 5, for example, when the dependency element of each morpheme is “” or “is”, the sentence structure analysis unit 430 applies the subject (subject) to the morpheme before the dependency element. Or a leading character). In addition, the sentence structure analysis unit 430
For example, if the dependency element of each morpheme is “NO” or “NO”, it is determined that the morpheme before the dependency element is an object (target).
[0120]
Further, for example, when the dependency element of each morpheme is “Yes”, the sentence structure analysis unit 430 includes an action (predicate; this predicate is composed of a verb, an adjective, and the like). It is determined that
[0121]
The sentence structure analysis unit 430 that has determined the “case structure” of each morpheme that constitutes each clause determines the range of topics (topics) to be described later based on the first morpheme information associated with the determined “case structure”. A topic search command signal for specifying is output to the topic search unit 360.
[0122]
Next, the utterance type determination unit 440 performs a step of specifying an utterance type indicating the type of utterance content based on the phrase specified by the phrase analysis unit 420 (S106). Specifically, “speech sentence type” (speech type) is determined based on each morpheme corresponding to the sentence pattern signal input from the phrase analysis unit 420 and a phrase composed of each morpheme.
[0123]
That is, the utterance type determination unit 440 collates each phrase with each dictionary stored in the utterance type database 460 based on each phrase corresponding to the input sentence pattern signal, and from each phrase, Extract sentence elements related to the dictionary. The utterance type determination unit 440 that extracts sentence elements related to each dictionary from each phrase determines “spoken sentence type” based on the extracted sentence elements.
[0124]
The utterance type determination unit 440 outputs an answer search command signal for causing the corresponding user to search for a specific answer sentence to the answer sentence search unit 370 based on an instruction from the topic search unit 360 described later.
[0125]
Next, the reflexive determination unit 320 compares the first morpheme information extracted by the morpheme extraction unit 410 with each fixed content, and performs a step of searching for fixed content including the first morpheme information from each fixed content. (S107: reflective processing).
[0126]
Specifically, the reflexive determination unit 320 to which the topic search command signal is input from the sentence structure analysis unit 430 receives the first morpheme information included in the input topic search command signal and the reflection element database 801. The reflection element information (standard content) is collated, the reflection element information including the first morpheme information is searched from each reflection element information, and the searched reflection element information is output to the management unit 310.
[0127]
When the reflection element information cannot be searched for the reflection element information including the first morpheme information from the reflection element information, the reflection determination unit 320 determines whether to return the topic search command signal input from the sentence structure analysis unit 430. To the unit 330.
[0128]
Next, the return determination unit 330 collates the first morpheme information extracted by the morpheme extraction unit 410 with each return element, and performs a step of searching for the return element including the first morpheme information from each return element ( S108;
[0129]
When it is determined that the first morpheme information is included in each return element, the return determination unit 330 acquires the return element including the first morpheme information, and manages the response sentence including the acquired return element. The data is output to the unit 310 (turnback processing). That is, if the return element (answer sentence output last time, utterance content spoken by the previous user, etc.) is S and the first morpheme information is W, the return determination unit 330 has a relationship of W⊂S and W ≠ φ. If it is established, the turn-back process shown above is performed.
[0130]
On the other hand, when determining that the first morpheme information is not included in each return element, the return determination unit 330 sends the topic search command signal input from the reflective determination unit 320 to the conversation range determination unit 340. Output.
[0131]
Then, the discourse range determination unit 340 collates the first morpheme extracted by the phrase analysis unit 420 with each discourse range, and searches (determines) the discourse range including the first morpheme information from each discourse range. A step is performed (S109).
[0132]
Specifically, the conversation range determination unit 340 to which the topic search command signal is input from the reversal determination unit 330 is based on the input search command signal, and the content that the user is speaking from the conversation database 500. Search for a relevant range (discourse range).
[0133]
For example, the discourse range determination unit 340 includes the first morpheme information included in the input topic search command signal (an interesting movie; *; is there) {is there an interesting movie? }, The first morpheme information is compared with the discourse range group, and if the discourse range group includes a morpheme (for example, “movie”) constituting the first morpheme information, The “movie” included in the information is determined as the discourse range. In this case, since the discourse range “movie” is included in the first morpheme information, the discourse range determination unit 340 includes the input first morpheme information in the topic search command signal and outputs it to the topic search unit 360.
[0134]
On the other hand, when the first morpheme information does not include a discourse range group, the conversation range determination unit 340 includes the input first morpheme information in the topic search command signal and outputs it to the abbreviated sentence complement unit 350.
[0135]
Next, the abbreviation sentence complementing unit 350 includes attributes that do not include a morpheme among the attributes (subject, object, action, etc.) constituting the first morpheme information based on the first morpheme information extracted by the phrase analysis unit 420. Perform the step of searching. Thereafter, the abbreviated sentence complementing unit 350 performs a step of adding the morpheme constituting the discourse range searched by the discourse range determining unit 340 to the attribute based on the attribute not including the searched morpheme (S110; abbreviated sentence). Complement).
[0136]
Specifically, the abbreviated sentence complementing unit 350 to which the topic search command signal is input from the discourse range determination unit 340 is based on the first morpheme information included in the input discourse search command signal, and the utterance including the first morpheme information. It is determined whether or not the content is an abbreviated sentence. If the utterance content including the first morpheme information is an abbreviated sentence, the morpheme in the discourse range to which the first morpheme information belongs is added to the first morpheme information.
[0137]
For example, the abbreviation sentence complementing unit 350 has a morpheme constituting the first morpheme information included in the input topic search command signal (director; *; *) (director?) (This sentence is “what” director If it is unknown, it means an abbreviated sentence.), The conversation range previously determined by the conversation range determination unit 340 (A movie name; this A movie name is the title of the movie) The first morpheme information belonging to the first morpheme information is added to the first morpheme information ("A movie name"). Director; *; *).
[0138]
That is, assuming that the first morpheme information is W and the determined discourse range is D, the abbreviated sentence complementing unit 350 adds the discourse range D to the first morpheme information W, and uses the first morpheme information after the addition as a topic search command. It is included in the signal and output to the topic search unit 360.
[0139]
Next, the topic search unit 360 collates the first morpheme information extracted by the phrase analysis unit 420 or the first morpheme information supplemented by the abbreviated sentence complement unit 350 with each second morpheme information, and each second morpheme A step of searching for second morpheme information including morpheme constituting the first morpheme information from the information is performed (S111).
[0140]
Specifically, the topic search unit 360 to which the topic search command signal is input from the talk range determination unit 340 or the abbreviated sentence complement unit 350 is based on the first morpheme information included in the input topic search command signal. The “topic title” including the morpheme of the first morpheme information is searched from each “topic title” (second morpheme information) belonging to the discourse range determined by the determination unit 340, and the search result is used as a search result signal. The information is output to the answer sentence search unit 370 and the utterance type determination unit 440.
[0141]
For example, when the “case configuration” constituting the first morpheme information is (Sato; *; I like) {I like Sato}, the topic search unit 360, as shown in FIG. Each morpheme (Sato; *; I like) belonging to the “composition” is compared with each topic title 1-1 to 1-4 belonging to the discourse range (Sato), and from among the topic titles 1-1 to 1-4 A topic title 1-1 (Sato; *; likes) that matches (or approximates) each morpheme (Sato; *; likes) belonging to the “case composition” is searched, and this search result is used as a search result signal as a response sentence. The data is output to the search unit 370 and the utterance type determination unit 440.
[0142]
The utterance type determination unit 440 to which the search result signal is input from the topic search unit 360, based on the input search result signal, an answer search command for searching for a specific answer sentence that answers to the corresponding user. A signal (this answer search command signal also includes the determined “sentence type”) is output to the answer sentence search unit 370.
[0143]
Then, the answer sentence search unit 370 collates the utterance type of the identified user with each answer type associated with the second morpheme information based on the second morpheme information searched by the topic search unit 360, A search is made for a response type that matches the user's utterance type from each response type, and an answer sentence associated with the response type is obtained based on the searched response type (S112).
[0144]
Specifically, the answer sentence search unit 370, to which the search result signal from the topic search unit 360 and the answer search command signal from the utterance type determination unit 440 are input, the topic title (search result) corresponding to the input search result signal. Based on the second morpheme information) and the “speech sentence type” (utterance type) corresponding to the answer search command signal, the answer sentence group (each answer content) associated with the “topic title”. Among them, an answer sentence having an answer type (this answer type means “type of answer sentence” shown in FIG. 11) that matches the “sentence sentence type” (DA, IA, CA, etc.) is searched.
[0145]
For example, when the topic title corresponding to the search result is the topic title 1-1 (Sato; *; I like) shown in FIG. 12, the answer sentence search unit 370 is associated with the topic title 1-1. Of the reply sentences 1-1 (DA, IA, CA, etc.), the reply composed of the reply type (DA) that matches the “spoken sentence type” (for example, DA; utterance type) determined by the utterance type determination unit 440. The sentence 1-1 (DA; (I also like Sato) is searched), and the searched answer sentence is output to the management unit 310 as an answer sentence signal.
[0146]
Next, the management unit 310 to which the answer sentence signal is input from the answer sentence search unit 370 outputs the input answer sentence signal to the output unit 600. In addition, the management unit 310 to which the reflection element information is input from the reflective determination unit 320 or the contents of the turn-back process from the turn-back determination unit 330, the answer sentence corresponding to the input reflection element information, the content of the turn-back process that is input Is output to the output unit 600 (S113). The output unit 600 to which an answer sentence is input from the management unit 310 outputs the input answer sentence {for example, I also like Sato}.
[0147]
(Operation and effect of conversation control device and conversation control method)
According to the invention according to the present application having the above-described configuration, the reflexive determination unit 320 collates the first morpheme information constituting the utterance content uttered by the user with each fixed content stored in advance, and each fixed content from among, it is possible to find the standard content including a first morpheme information, reflexive determination unit 320, for example when the first morpheme information is a fixed content such as "Hello" includes the standard content it is possible to answer the same boilerplate content "Hello" or the like.
[0148]
In addition, when the user's utterance content is a fixed content, the reflexive determination unit 320 replies with the fixed content (greeting etc.), so that the user first contacts the conversation control device 1. You can enjoy a sense of communication.
[0149]
Further, the reversal determination unit 330 compares the current first morpheme information with the past response content, and if the current first morpheme information is not included in the past response content, the agreement stored in advance is stored. Since the contents can be acquired, if the input information currently input from the user matches the past response contents, the return determination unit 330 returns the user to the previous response contents (use It is possible to conclude that the user has input the input information that the person is listening to the response content.
[0150]
In this case, the return determination unit 330 acquires the contents of the agreement that has been stored and the acquired agreement (for example, “That ’s right”) because the user has made a response to the previous response. Can be output. As a result, if the user does not understand the meaning of the answer content output from the conversation control device 1, he can listen again and listen again to the answer content, so he is also talking to other users. You can taste a feeling like this.
[0151]
Further, the reversal determination unit 330 collates the current first morpheme information with the past first morpheme information, and if the current first morpheme information is included in the past first morpheme information, the repulsion content is acquired. Therefore, when the input information input last time is included in the input information input this time, the user may repeatedly input the same content as the previous input information. Therefore, it can be determined that the user has not properly answered the response content from the conversation control device.
[0152]
In this case, since the user does not appropriately reply to the previous response content, the reversal determination unit 330 repels the user, so the stored repulsion content is acquired, and the acquired repulsion content Is output. As a result, if the user does not input appropriate input information with respect to the response content from the conversation control device 1, the repulsion content is output from the conversation control device 1. You can taste a sense of being.
[0153]
Further, in order to search for the second morpheme information approximate to the first morpheme information, the topic search unit 360 may collate each second morpheme information belonging to the “discourse range” with the first morpheme information. Since it is not necessary to collate the second morpheme information with the first morpheme information, the time until the second morpheme information approximate to the first morpheme information can be shortened.
[0154]
As a result, the topic search unit 360 can search (pinpoint search) the second morpheme information that approximates the first morpheme information in a short time, so that the answer sentence search unit 370 is the topic search unit 360. An answer sentence associated with the second morpheme information can be acquired in a short time based on the searched second morpheme information, and the conversation control device 1 quickly answers the utterance content from the user. be able to.
[0155]
Moreover, the topic search part 360 searches the 2nd morpheme information which contains the morpheme (element which comprises a user's utterance content) which comprises 1st morpheme information from each 2nd morpheme information, and an answer sentence search part Since 370 can acquire the answer content associated with the second morpheme information based on the second morpheme information searched by the topic search unit 360, the answer sentence search unit 370 can obtain the utterance content of the user. Based on each constituent morpheme (first morpheme information), it is possible to take into account the semantic spaces (subjects, objects, etc.) constructed by each morpheme and obtain the response contents created in advance based on such semantic spaces Thus, it is possible to acquire the answer content more suitable for the utterance content, rather than simply using the entire utterance content as a keyword and obtaining the answer content associated with the keyword.
[0156]
Further, since the topic search unit 360 searches for the second morpheme information including the first morpheme information, it is not necessary to search for the second morpheme information that completely matches the utterance content of the user, and the conversation control device 1 is developed. The developer who does not need to memorize a huge amount of answer contents corresponding to the utterance contents that will be uttered by the user in advance, and can reduce the capacity of the storage unit.
[0157]
Furthermore, the answer sentence search unit 370 selects the answer type that matches the user's utterance type from the answer types (description, affirmation, location, repulsion, etc.) associated with each second morpheme information belonging to the “discourse range”. Since the response content associated with the response type can be acquired based on the searched response type, the conversation control device 1 can determine the utterance type that constitutes the user's conversation content, for example, the user Answers that match the user's utterance type out of multiple answers based on what is simply stated, what the user has to say, what the user describes the location element, etc. As a result, it is possible to obtain an optimal answer to the corresponding user.
[0158]
Furthermore, the answer sentence search unit 370 matches the user's utterance type from the answer types associated with the second morpheme information belonging only to the “discourse range” searched by the discourse range determination unit 340. Since it is only necessary to search for the type (pinpoint search is possible), it is not necessary to search for the response type associated with the “all” second morpheme information and the user's utterance type one by one. Can be obtained in a short time.
[0159]
Finally, the abbreviated sentence complementing unit 350 belongs to the discourse range in which the first morpheme information exists even if the first morpheme information constituting the utterance content of the user is an abbreviated sentence and is not clear as Japanese. If so, the discourse range can be added to the first morpheme information, and the first morpheme information consisting of abbreviated sentences can be complemented.
[0160]
Thus, the abbreviated sentence complementing unit 350 allows the first morpheme information so that the utterance contents constituting the first morpheme information are appropriate Japanese even if the utterance contents constituting the first morpheme information are abbreviated sentences. Since a specific morpheme (such as a morpheme constituting a discourse range) can be complemented, the topic search unit 360 is based on the first morpheme information after completion supplemented by the abbreviated sentence complement unit 350. The optimal second morpheme information related to the information can be acquired, and the answer sentence search unit 370 can select the answer content more suitable for the user's utterance content based on the second morpheme information acquired by the topic search unit 360. Can be output.
[0161]
As a result, even if the input information from the user is an abbreviated sentence, the conversation control device 1 does not use a function such as a neuro network or an AI intelligence, and does not mean what the abbreviated sentence means through past search results. Since the developer of the conversation control device 1 does not need to install a neuro network or AI intelligence, the system of the conversation control device 1 can be constructed more simply.
[0162]
[Example of change]
In addition, this invention is not limited to the said embodiment, The change as shown below can be added.
[0163]
(First change example)
In this modification, the conversation database 500 may be an element storage unit that stores a plurality of pieces of element information indicating the entire set group including a plurality of morpheme sets in association with the set group. Further, the morpheme extraction unit 410 collates the morpheme extracted from the character string with each set group, selects a set group including the extracted morpheme from each set group, and selects an element associated with the selected set group. Information may be extracted as first morpheme information.
[0164]
As shown in FIG. 16, some morphemes included in the character string uttered by the user are similar. For example, as shown in FIG. 16, if the element information indicating the entire group is “gift”, the “gift” is similar to a present, gift, year-end gift, mid-year gift, celebration, etc. (group). Therefore, when there is a morpheme similar to “gift” (such as the present), the morpheme extraction unit 410 can handle the similar morpheme as “gift”.
[0165]
That is, for example, when the morpheme extracted from the character string is “present”, the morpheme extraction unit 410 has “present” as the element information representing “present” as shown in FIG. “Present” can be replaced with “Gift”.
[0166]
This allows the morpheme extraction unit 410 to sort out morphemes that are similar to each other, so that the developer who develops the conversation control device can perform the first corresponding to the semantic space that is grasped from the mutually similar first morpheme information. It is not necessary to create reply contents related to the bimorphic information and the second morpheme information one by one, and as a result, the amount of data stored in the storage unit can be reduced.
[0167]
(Second modified example)
As shown in FIG. 17, in the present modification example, the topic search unit 360 may include a ratio calculation unit 361 and a selection unit 362.
[0168]
The ratio calculation unit 361 compares the first morpheme information extracted by the morpheme extraction unit 410 with each second information, and the ratio of the first morpheme information to the second morpheme information for each second morpheme information. Is a calculation means for calculating.
[0169]
Specifically, the ratio calculation unit 361 to which the topic search command signal is input from the sentence structure analysis unit 430, based on the first morpheme information included in the input topic search command signal, as shown in FIG. One morpheme information is collated with each topic title (second morpheme information) belonging to the discourse range stored in the conversation database 500, and the first morpheme information occupies in each topic title for each topic title. Calculate the percentage.
[0170]
For example, as shown in FIG. 18, when the first morpheme information constituting the utterance sentence uttered by the user is (Sato; *; I like) {I like Sato}, the ratio calculation unit 361 Each morpheme belonging to “case composition” is matched with each morpheme belonging to “case composition” by comparing each morpheme belonging to “case composition” (Sato; *; likes) and each morpheme included in the topic title (Sato; *; likes). The ratio of (Sato; *; I like) is calculated to be 100%. The ratio calculation unit 361 performs these calculations for each topic title, and outputs each calculated ratio to the selection unit 362 as a ratio signal.
[0171]
The selection unit 362 is a selection unit that selects one second morpheme information from each second morpheme information according to the size of each rate calculated by the rate calculation unit 361 for each second morpheme information. is there.
[0172]
Specifically, the selection unit 362 to which the ratio signal is input from the ratio calculation unit 361 selects from among the ratios included in the input ratio signal (element of “case configuration” / element of “topic title” × 100). For example, a topic title with a high ratio is selected (see FIG. 18). The selection unit 362 that has selected a topic title with a high ratio outputs the selected topic title to the answer sentence search unit 370 and the utterance type determination unit 440 as a search result signal. The answer sentence search unit 370 acquires an answer sentence associated with the topic title based on the topic title selected by the selection unit 362.
[0173]
Accordingly, the selection unit 362 calculates the ratio of the first morpheme information to the second morpheme information for each second morpheme information, and the size of each ratio calculated for each second morpheme information. Accordingly, one second morpheme information can be selected from each second morpheme information, so that the selection unit 362 has, for example, first morpheme information (which constitutes the user's utterance content). If second morpheme information with a large proportion of second morpheme information can be acquired from a plurality of second morpheme information groups, the second morpheme information that follows the semantic space grasped from the first morpheme information is more As a result, the answer sentence search unit 370 can make an optimum answer to the utterance content of the user.
[0174]
Further, since the selection unit 362 can select a topic title having a high ratio calculated by the ratio calculation unit 361 from a plurality of topic titles, the selection unit 362 belongs to the “case configuration” included in the user's utterance sentence. Even if each morpheme and each topic title stored in the conversation database 500 do not completely match, it is possible to acquire a topic title closely related to each morpheme belonging to “case composition”.
[0175]
As a result, since the selection unit 362 can acquire a topic title closely related to the “case configuration” constituting the first morpheme information, the developer who develops the conversation control device 1 configures the first morpheme information. Since it is not necessary to store topic titles that completely match “case configuration” in the conversation database 500, the capacity of the conversation database 500 can be reduced.
[0176]
Further, the ratio calculation unit 361 calculates the ratio of the first morpheme information to the second morpheme information for each second morpheme information belonging only to the “discourse range” searched by the discourse range determination unit 340. Therefore, it is not necessary to calculate the ratio of the first morpheme information to the “all” second morpheme information, and the second morpheme information that follows the semantic space composed of the first morpheme information is acquired in a shorter time. As a result, it is possible to quickly output the optimum answer contents for the utterance contents from the user based on the acquired second morpheme information.
[0177]
The ratio calculation unit 361 collates each morpheme of the first morpheme information belonging to each classified attribute and each morpheme of each second morpheme information belonging to each attribute stored in advance for each attribute. It may be a first search means for searching for second morpheme information including each morpheme of the first morpheme information in at least one attribute from the second morpheme information.
[0178]
Specifically, the ratio calculation unit 361 to which the topic search command signal is input, for each “case” (subject; object; action) of the “case configuration” included in the input topic search command signal. ”And each morpheme belonging to“ case ”of the topic title composed of the same“ case ”are collated, and it is determined whether or not the morphemes constituting each“ case ”are the same.
[0179]
For example, as illustrated in FIG. 19, when the “case” morpheme of “case configuration” is (dog; person; bitten) {dog bites a person}, the ratio calculation unit 361 displays those morphemes. Match "dog", "person", and "chewed" with the morpheme "dog", "person", and "chewed" of the topic title consisting of the same "case" that constitutes the morpheme Then, among the morphemes “dog”, “people”, and “chewing” that make up the topic title, the “case composition” morpheme “dog” consisting of the same “case” corresponding to each morpheme, The ratio of “people” and “biting” is calculated (100%).
[0180]
If the element constituting the topic title is (person; dog; bite) {person bites the dog}, the ratio calculation unit 361 performs morphemes belonging to two cases by the same procedure as described above. Therefore, the degree of coincidence of each “case” between the morpheme constituting “case composition” and “topic title” is calculated to be 33% (see FIG. 19).
[0181]
The ratio calculation unit 361 that has calculated the ratio selects a topic title with a high ratio from the ratios, and outputs the selected topic title to the answer sentence search unit 370 and the utterance type determination unit 440 as a search result signal.
[0182]
As a result, the ratio calculation unit 361 displays, for each “case”, each morpheme of the first morpheme information belonging to each classified “case configuration” (subject case, target case, etc.) and a pre-stored topic title. Since the second morpheme information including each morpheme of the first morpheme information in at least one “case” can be searched from each topic title, the ratio calculator 361 is different from the normal word order. If the utterance content is composed of things, for example, “a person bites a dog”, the morpheme of the subject case is “person” and the morpheme of the subject case is “dog”. You can search for matching second morpheme information, and obtain the response contents {"really?" Or "I don't know the meaning"} associated with the second morpheme information (person; dog; bite) can do.
[0183]
That is, since the ratio calculation unit 361 can identify utterance contents that are difficult to identify, for example, “a person bites a dog” and “a dog bites a person”, an optimal answer to the identified utterance contents, For the former, for example, “Really?”, For the latter, for example, “Are you okay?”
[0184]
Further, the ratio calculation unit 361 may search for the second morpheme information including the morpheme of the first morpheme information in at least one attribute from the respective second morpheme information belonging to the “discourse range”. From the second morpheme information, it is no longer necessary to acquire one second morpheme information, the second morpheme information that follows the semantic space composed of the first morpheme information can be acquired in a shorter time, As a result, the conversation control device 1 can quickly output the optimum answer content for the utterance content from the user based on the acquired second morpheme information.
[0185]
The selection unit 362 may select one topic title from among the topic titles according to a predetermined priority order. This priority order means a priority for selection as a topic title. This priority order is predetermined by the developer at the development stage.
[0186]
(Third change example)
As shown in FIG. 20, the present modification is not limited to the above-described embodiment and each modification, and data is transmitted and received via the communication network 800 in the conversation control devices 1 a and 1 b and the communication network 1000. Communication unit 900, conversation databases 500b to 500d connected to communication unit 900, and servers 2a to 2c (conversation control system).
[0187]
Here, the communication network 1000 means a communication network that transmits and receives data. In the present embodiment, for example, the Internet is used. In this modification, the conversation databases 500b to 500d and the servers 2a to 2c are limited for convenience. However, the present invention is not limited to this, and other conversation databases may be provided.
[0188]
Thereby, the conversation control unit 300 refers not only to the conversation database 500a arranged inside the conversation control apparatus 1a but also to other conversation control apparatuses 1b, other conversation databases 500b to 500d, and servers 2a to 2c. Therefore, for example, it is a case where it is not possible to search from the conversation database 500a the discourse range related to each morpheme (first morpheme information) belonging to the “case configuration” included in the topic search command signal. However, by referring to the other conversation control device 1b, conversation databases 500b to 500d, and servers 2a to 2c, it is possible to search the range of conversation related to the above “case structure” and the like based on the user's utterance sentence. A suitable answer sentence can be searched.
[0189]
(Fourth change example)
The sentence structure analysis unit 430 may store in the conversation database 500 each “case configuration” and each “case configuration” constituting the identified first morpheme information. The answer sentence search unit 370 may store each “case structure” and each “morpheme” associated with each “case structure” constituting the searched answer sentence in the conversation database 500.
[0190]
The conversation range determination unit 340 may store the searched conversation range in the conversation database 500. The topic search unit 360 may store the searched second morpheme information in the conversation database 500.
[0191]
The first morpheme information, the second morpheme information, each “case composition” that constitutes the first morpheme information or the second morpheme information, each morpheme associated with each “case composition”, and the retrieved answer sentence Each "case structure" and each morpheme associated with each "case structure" and the searched discourse range are associated with each other and stored in the conversation database 500 or the reversal element database 802 as history morpheme information. be able to.
[0192]
The abbreviated sentence complementing unit 350 does not include a morpheme from each attribute (subject, object, action, etc .; case configuration) constituting the first morpheme information based on the first morpheme information extracted by the phrase analysis unit 420. The attribute is searched, and the history morpheme information stored in the conversation database 500 or the return element database 802 is added to the attribute based on the searched attribute.
[0193]
Specifically, the abbreviated sentence complementing unit 350 to which the topic search command signal is input from the discourse range determination unit 340 is based on the first morpheme information included in the input discourse search command signal, and the utterance including the first morpheme information. If the content is an abbreviated sentence, and the utterance content made up of the first morpheme information is an abbreviated sentence (for example, the subject, object, or action does not have a predetermined morpheme), the conversation database 500 or The history form information stored in the return element database 802 is added to the first morpheme information.
[0194]
That is, assuming that the subject included in the history form information is S1, the object is O1, the action A1, the discourse range is D1, and the omitted first morpheme information is W, the supplemented first morpheme information W1 is S1ＳW , O1∪W, A1∪W, or D1∪W.
[0195]
The topic search unit 360 collates the first morpheme information W1 supplemented by the abbreviated sentence complement unit 350 and each second morpheme information, and from each “topic title” (second morpheme information), the first morpheme information The second morpheme information including W1 is searched, and the searched topic title is output to the answer sentence search unit 370 and the utterance type determination unit 440 as a search result signal.
[0196]
Thereby, even if the utterance content composed of the first morpheme information is an abbreviated sentence and is not clear as Japanese, the abbreviated sentence complementing unit 350 uses the history form information stored in the conversation database 500, Since the omitted morpheme of the first morpheme information can be complemented, the utterance content including the omitted first morpheme information can be clarified.
[0197]
For this reason, when the abbreviated sentence complementing part 350 is the abbreviated sentence which comprises 1st morpheme information, 1st morpheme information is set so that the utterance content which consists of 1st morpheme information becomes appropriate Japanese. Since the morpheme omitted in FIG. 6 can be supplemented, the topic search unit 360 is based on the first morpheme information supplemented with the morpheme, and the optimal “topic title” (second morpheme) related to the first morpheme information. Information) can be acquired, and the answer sentence search unit 370 can output the answer content more suitable for the user's utterance content based on the optimal “topic title” acquired by the topic search unit 360. .
[0198]
(Fifth change example)
The topic search unit 360 may include a deletion unit 363 and a discourse addition unit 364, as shown in FIG. The deletion unit 363 collates the second morpheme information with the discourse range searched by the discourse range determination unit 340 based on the searched second morpheme information, and determines the discourse from each morpheme constituting the second morpheme information. It is a deletion means for deleting a morpheme that matches the range.
[0199]
Specifically, the topic search unit 360 to which the topic search command signal is input from the abbreviated sentence complement unit 350 receives the first morpheme information included in the input topic search command signal and the discourse determined by the discourse range determination unit 340. Each second morpheme information belonging to the range is collated, and second morpheme information matching the first morpheme information is searched from each second morpheme information.
[0200]
Then, based on the searched second morpheme information, the deletion unit 363 collates the second morpheme information with the morphemes constituting the discourse range determined by the discourse range determination unit 340, and stores the second morpheme information. Then, the morpheme that matches the morpheme constituting the discourse range is deleted, and the second morpheme information from which the morpheme has been deleted is output to the discourse adding unit 364 as a delete signal.
[0201]
That is, the deletion unit 363 removes (removes) the current discourse range D2 (this D2 is made of morpheme) determined by the discourse range determination unit 340 from each morpheme t1 constituting the second morpheme information. If the result is t2, t2 = t1-D2).
[0202]
The discourse adding unit 364 acquires another discourse range associated with the discourse range searched by the discourse range determining unit 340 based on the second morpheme information from which the morpheme has been deleted by the deletion unit 363, and the acquired other This is a discourse adding means for adding the morpheme constituting the discourse range to the second morpheme information.
[0203]
More specifically, if the current discourse range D2 is related to the answer sentence K1, and the discourse range is DK, other discourses related to the answer sentence K1 or the current discourse range D2 (those that have a sibling relationship). Since the range D3 can be expressed as D3 = D2∪DK, the second morpheme information W2 after adding the morpheme constituting the other discourse range D3 can be set to W2 = t2∪D3.
[0204]
For example, each morpheme t1 constituting the second morpheme information is (A movie name; *; interesting) {A movie name is interesting? }, And the current discourse range D2 determined by the discourse range determination unit 340 is (A movie name), the deletion unit 363 first starts from each morpheme t1 (A movie name; *; interesting). The conversation range D2 (A movie name) is deleted, and the deleted result is set to t2 (*; *; interesting) (t2 = t1-D2).
[0205]
When the other conversation range D3 related to the current conversation range D2 (A movie name) is “B movie name”, the second morpheme information after adding the morpheme constituting the other conversation range D3 W2 is t2∪D3, so (B movie name; *; funny) {B movie name is interesting? }.
[0206]
Thereby, when the user's utterance content is “A movie name is interesting?”, The discourse adding unit 364 matches each morpheme (A movie name; *; interesting) constituting the user's utterance content. Second morpheme information (A movie name; *; interesting), other second morpheme information (B movie name; *; interesting) {B movie name is interesting? }, The answer sentence search unit 370 acquires the answer sentence (for example, “B movie name is interesting”) associated with the second morpheme information changed by the discourse adding part 364, The acquired answer text can be output.
[0207]
As a result, the answer sentence search unit 370 does not directly output the answer sentence to the user's utterance contents, but based on the second morpheme information including the morpheme added by the discourse addition part 364, the utterance contents Therefore, the output unit 600 can output a more humane answer sentence based on the answer sentence searched by the answer sentence search unit 370.
[0208]
Note that the discourse adding unit 364 is not limited to adding the other discourse range to the second morpheme information from which the morpheme has been deleted, but to the second morpheme information from which the morpheme has been deleted. (Stored in the database 500) may be added.
[0209]
(Sixth change example)
When the topic search unit 360 cannot search the second morpheme information including the first morpheme information from the second morpheme information, the topic search unit 360 collates the first morpheme information with each answer content, When the answer content including the first morpheme information can be searched from among the first morpheme information, the first search unit may acquire the second morpheme information associated with the searched answer content.
[0210]
Specifically, the topic search unit 360, to which the topic search command signal is input from the abbreviated sentence complement unit 350, based on the first morpheme information included in the input topic search command signal, If the second morpheme information that matches the first morpheme information cannot be obtained from each second morpheme information by collating with the morpheme information, as shown in FIG. The answer sentence associated with the second morpheme information is collated.
[0211]
When the topic search unit 360 determines that the morpheme constituting the first morpheme information (the action or the morpheme associated with the action) is included in the answer sentence by this collation, the answer sentence includes Search for associated second morpheme information.
[0212]
Thereby, even if the topic search unit 360 cannot search the second morpheme information that matches the first morpheme information from each second morpheme information, Since the answer sentence including the morpheme (action or the morpheme associated with the action) that constitutes the user can be identified and the second morpheme information associated with the identified answer sentence can be searched, the user's utterance content 2nd morpheme information corresponding to the 1st morpheme information which constitutes can be searched appropriately.
[0213]
As a result, since the topic search unit 360 can search for the optimal second morpheme information corresponding to the first morpheme information, the answer sentence search unit 370 can search for the optimal second morpheme information searched by the topic search unit 360. Based on the above, it is possible to acquire appropriate answer contents for the user's utterance contents.
[0214]
[program]
The contents described in the conversation control system and the conversation control method can be realized by executing a dedicated program for using a predetermined program language in a general-purpose computer such as a personal computer.
[0215]
Here, as the programming language, the topic that the user wants, the user's emotional level for a certain matter, or the type of statement sentence, affirmative sentence, question sentence, repulsive sentence, etc. are associated with the morpheme according to the semantic content In this embodiment, for example, DKML (Discourse Knowledge Markup Language), XML (eXtensible Markup Language), C language, etc. developed by the inventors can be used.
[0216]
That is, the conversation control device 1 stores data stored in each of the conversation databases 500a to 500d (stored information such as second morpheme information, fixed content, answer sentence, answer type, set group, discourse range, element information, etc.), etc. These parts can be constructed by DKML (Discourse Knowledge Markup Language), XML (eXtensible Markup Language), or the like, and can be realized by executing a program for using the constructed storage information.
[0217]
According to such a program according to the present embodiment, each morpheme constituting the utterance content of the user is identified, the semantic content grasped from each identified morpheme is analyzed, and associated with the analyzed semantic content. A conversation control device, a conversation control system, and a conversation control method that have the effect of being able to output the optimum answer contents corresponding to the user's utterance contents by outputting the answer contents prepared in advance. It can be easily realized by a general purpose computer.
[0218]
In addition, since the developer who develops the conversation control device 1 can hierarchically construct the second morpheme information and the like for searching the answer contents for the user's utterance contents using the language in the database. The conversation control device 1 can acquire the response content for the utterance content from the database through a hierarchical procedure based on the utterance content of the user.
[0219]
In other words, the conversation control device 1 has determined and determined the hierarchy of the user's utterance content (for example, whether the second morpheme information stored in the database is in a higher concept or a lower concept). Appropriate answer contents can be acquired from the answer contents accumulated in advance based on the hierarchy.
[0220]
For this reason, the conversation control device 1 does not collate the first morpheme information composed of the user's utterance content and the previously stored “all” second morpheme information one by one. Since the second morpheme information and the first morpheme information may be collated, the second morpheme information approximate to the first morpheme information can be acquired in a short time.
[0221]
Furthermore, communication between the communication unit 800 and the communication unit 900 may be performed by transmitting and receiving data via a communication network 1000 using a protocol such as DKML. Thereby, for example, when there is no answer content suitable for the user's utterance content in the conversation control device 1, the conversation control device 1 is suitable for the user's utterance content through the communication network 1000 according to the convention such as DKML. It is possible to retrieve the answer contents (described in DKML or the like) and obtain the retrieved answer contents (see FIG. 20).
[0222]
The program can be recorded on a recording medium. As shown in FIG. 23, examples of the recording medium include a hard disk 1100, a flexible disk 1200, a compact disk 1300, an IC chip 1400, and a cassette tape 1500. According to the recording medium on which such a program is recorded, the program can be easily stored, transported, sold, and the like.
[0223]
[Second Embodiment]
(Basic configuration of map output device)
A second embodiment of the present invention will be described with reference to the drawings. FIG. 24 shows the internal structure of the map output device 3 according to this embodiment. As shown in the figure, the map output device 3 is substantially the same as the internal structure of the conversation control device 1 in the first embodiment, but has a map information search unit 371 in place of the abbreviated sentence complement unit 350. The difference is that a question sentence search unit 372 is provided instead of the sentence search unit 370, a map output command acquisition unit 373 and a map output unit 374 are added, and a function of the discourse range determination unit 340 is slightly different. Since it is the same as the structure of 1st embodiment and a modified example except this difference, description about structures other than a difference is abbreviate | omitted.
[0224]
In 1st embodiment, although the conversation control apparatus 1 demonstrated the process which acquires the optimal answer sentence corresponding to the utterance content based on the utterance content from a user, in this embodiment, the map output device 3 is described. Based on the utterance content uttered by the user, the processing is different in that a process corresponding to the utterance content is output. The specific explanation is as follows. In addition, in this embodiment, it naturally has various functions in the first embodiment, for example, a turning process, a reflective process, and the like, and an effect corresponding to these functions is naturally produced.
[0225]
The discourse range determination unit 340 collates at least one morpheme extracted by the phrase analysis unit 420 with each discourse range stored in advance, and selects a discourse range that matches the morpheme from the discourse ranges. This is a discourse search means for searching as information. In this embodiment, the first morpheme information and the second morpheme information described later are different from the first embodiment, and each morpheme belonging to the first morpheme information and the second morpheme information is a subject, an object, an action, and the like. It is assumed that it is not classified into the “case” composition of.
[0226]
Specifically, the discourse range determination unit 340 to which each morpheme is input from the sentence structure analysis unit 430 collates each input morpheme with each discourse range stored in advance, and is input from each discourse range. Each discourse range that matches each morpheme is searched as first morpheme information, and the searched first morpheme information is output to the map information search unit 371 as a discourse search command signal.
[0227]
Here, in the discourse range indicating the morpheme related to the input information that will be inputted by the user or the response content to the user, a morpheme consisting of one character, a plurality of character strings, or a combination thereof is included. A plurality of second morpheme information shown are associated, and each second morpheme information is associated with a map output command for outputting a map desired by the user on the screen, and the conversation database 500 (discourse storage means, morpheme As shown in FIG. 25, the storage means) stores a plurality of the above talk ranges in advance.
[0228]
In addition, as shown in the figure, each of the discourse ranges is associated with a question sentence for retrieving detailed information about the map desired by the user, as described above. , They are associated with a pre-defined superordinate concept or subordinate concept.
[0229]
The map information search unit 371 collates each morpheme extracted by the sentence structure analysis unit 430 with each second morpheme information stored in advance, and from each second morpheme information, a second morpheme including each morpheme. It is the 1st acquisition means which acquires information. Further, the map information search unit 371 collates the first morpheme information with each second morpheme information stored in advance based on the first morpheme information searched by the discourse range determination unit 340, and each second morpheme information. It is also a first acquisition means for acquiring second morpheme information that matches the first morpheme information.
[0230]
Specifically, the map information search unit 371 to which the discourse search command signal is input from the discourse range determination unit 340 is based on the searched first morpheme information (each discourse range) corresponding to the input discourse range search command signal. Then, the first morpheme information and each second morpheme information stored in the conversation database 500 are collated, and second morpheme information matching the first morpheme information is searched from each second morpheme information.
[0231]
For example, when the user's utterance content is “I want to see a map of Tokyo's A ward α address in Tokyo”, the sentence structure analysis unit 430 described above is included in one phrase of the utterance content. Each morpheme (I; map; Tokyo; ward A; address α; I want to see). For details, refer to “sentence analysis unit 420” and “sentence structure analysis unit 430” in the first embodiment.
[0232]
Unlike the first embodiment, the order of each morpheme in the parentheses is not the order of subjects, objects, and actions in this embodiment. The parentheses in the present embodiment simply mean each morpheme included in one sentence. The sentence structure analysis unit 430 that has extracted each morpheme included in the one phrase outputs each extracted morpheme to the discourse range determination unit 340. The discourse range determination unit 340 to which each morpheme is input from the sentence structure analysis unit 430 collates each input morpheme with each discourse range, and selects each discourse range that matches each morpheme from each discourse range. Search as monomorphic information.
[0233]
For example, as shown in FIG. 25, each discourse range stored in the conversation database 500 is a map, ... Tokyo, Osaka, Nagoya, ... A ward, B ward ... D village, E village, .., F village, G village, etc., the conversation range determination unit 340 extracts each of the previously stored conversation ranges and the extracted morphemes (I; map; Tokyo; A ward). ; Α address; want to see), and from each discourse range, each discourse range (map; Tokyo) that matches (common) with each morpheme (I; map; Tokyo; A ward; α address; want to see) ; A ward; address α).
[0234]
Of the extracted morphemes, “I” and “I want to see” are not included in each pre-stored discourse range. The talk range determination unit 340 outputs each searched talk range to the map information search unit 371 as first morpheme information.
[0235]
Thereafter, the map information search unit 371 to which the first morpheme information is input from the discourse range determination unit 340, as shown in FIG. 27, based on the input first morpheme information (map; Tokyo). ; A ward; address α) and each second morpheme information stored in advance, second morpheme information that matches the first morpheme information (map; Tokyo; A ward; Search for address α. The map information search unit 371 that searched for the second morpheme information that matches the first morpheme information outputs the searched second morpheme information to the map output command acquisition unit 373.
[0236]
In this embodiment, as shown in FIG. 25, in order to see a map with a user, at least the prefecture (Tokyo, Osaka, etc.), ward, municipality (A ward, B ward,. -Each map information consisting of D village, E village,... F village, G village, etc.) and address (α address, β address, γ address, etc.) is sent to the map output device 3. It is necessary to grasp.
[0237]
That is, when the utterance content input from the user does not include all of the map information, the map output device 3 extracts information about the missing map information from the user from among the map information. It is necessary to ask various questions. The map output device 3 generates missing map information based on the answer sentences from the users corresponding to these various questions, and uses the generated map information to generate a series of map information (first morpheme). Information). Thereby, the map output apparatus 3 can output the map corresponding to map information correctly based on a series of completed map information (refer FIG. 25).
[0238]
A specific description of outputting a corresponding map based on map information (first morpheme information) for which the map output device 3 has not been completed is as follows. In addition, in this embodiment, the said map information shall mean each discourse range which comprises a 1st morpheme form.
[0239]
First, the map information search unit 371 collates the first morpheme information with each second morpheme information based on the first morpheme information searched by the discourse range determination unit 340, and from among each second morpheme information, When the second morpheme information that matches the first morpheme information cannot be acquired, each discourse range corresponding to the first morpheme information is temporarily stored in the discourse range holding unit 501.
[0240]
Further, the map information search unit 371 generates a question sentence for embodying the utterance content from the user (information necessary for outputting the map, for example, which map of the prefectures you want to see). The question sentence output command signal for outputting and the input first morpheme information are output to the question sentence search unit 372.
[0241]
In the question sentence search unit 372, the map information search unit 371 collates the first morpheme information with each second morpheme information based on the first morpheme information searched by the discourse range determination unit 340, and If the second morpheme information that matches the first morpheme information cannot be obtained from the morpheme information, from among the question texts associated with each of the discourse ranges corresponding to the first morpheme information, It is a question sentence acquisition means for acquiring any one question sentence.
[0242]
The question text search unit 372 checks the first morpheme information and each second morpheme information based on the first morpheme information searched by the discourse range determination unit 340 by the map information search unit 371, and If the second morpheme information that matches the first morpheme information cannot be acquired from the dimorpheme information, it corresponds to the “lowest subordinate concept” from each discourse range corresponding to the first morpheme information One discourse range to be selected may be selected, and a question sentence associated with the selected discourse range may be acquired.
[0243]
As a result, the question sentence search unit 372 selects one discourse range corresponding to “the lowest subordinate concept”, and outputs the question sentence associated with the discourse range of the selected subordinate concept, whereby the map output device 3 Can complete the first morpheme information that does not include all map information by using the answer sentence from the user corresponding to the output question sentence of the subordinate concept, and the map output unit 374 Using the first morpheme information, the map desired by the user can be output accurately.
[0244]
Specifically, the question text search unit 372 to which the first morpheme information and the question text search command signal are input from the map information search unit 371, based on the input first morpheme information and the question text search command signal, A question sentence associated with the discourse range corresponding to the input first morpheme information is acquired from the conversation database 500, and the acquired question sentence is output to the management unit 310. The management unit 310 to which the question text is input from the question text search unit 372 outputs the input question text to the output unit 600, and the output unit 600 to which the question text is input from the management unit 310 is input to the question text. Are output via voice or on the screen.
[0245]
After that, the sentence structure analysis unit 430 to which the answer sentence from the user corresponding to the question sentence searched by the question sentence searching unit 372 is input, the character string corresponding to the answer sentence is based on the input answer sentence. Each morpheme constituting the minimum unit is extracted as an answer morpheme. The conversation range determination unit 340 includes the reply morphemes extracted by the sentence structure analysis unit 430 and each conversation range stored in advance (this conversation range is temporarily stored in the conversation range holding unit 501 in the present embodiment). Each discourse range is compared with other discourse ranges corresponding to subordinate concepts), and each discourse range that matches the answer morpheme is searched from each discourse range. Each discourse range temporarily stored in the discourse range holding unit 501 is combined, and the combined range is output to the map information search unit 371 as first morpheme information.
[0246]
For example, when the response content from the user corresponding to the question sentence (what do you want to see?) Is “I want to see a map”, the morpheme extracted by the phrase analysis unit 420 is “Map”, “ Because it is “I want to see”, the conversation range determination unit 340 matches those morphemes “map” and “I want to see” with each of the previously stored conversation ranges, and matches those morphemes from each of the conversation ranges. The discourse range (map) to be searched is searched, and the searched discourse range (map) is output to the map information search unit 371 as first morpheme information. In the present embodiment, it is assumed that the conversation range indicating “I want to see” is not included in each conversation range.
[0247]
Then, the map information search unit 371 to which the first morpheme information is input from the discourse range determination unit 340 collates the input first morpheme information (map) with each second morpheme information, as shown in FIG. Since the first morpheme information (map) does not match each second morpheme information, the first morpheme information (map) is stored in the discourse range holding unit 501 and the first morpheme information “map” is stored in the question sentence search unit. To 372.
[0248]
Further, the map information search unit 371 outputs a question sentence output command signal for outputting a question sentence for further embodying the semantic content of the first morpheme information “map” to the question sentence search unit 372. The question text search unit 372 to which the first morpheme information “map” and the question text output command signal are input from the map information search unit 371, as shown in FIG. 25, for the input first morpheme information “map”. In order to obtain map information, the question text associated with the discourse range “map” corresponding to the first morpheme information (for example, “Where do you want to see the“ map ”of“ prefectures ”?” ) Is acquired from the conversation database 500, and the acquired question sentence is output to the management unit 310.
[0249]
Note that the morphemes in “” in the question text in the figure mean the discourse range in this embodiment. In other words, in the present embodiment, this question sentence means the contents for retrieving information about the subordinate concept of the currently determined discourse range (map). For example, there are prefectures, wards, municipalities, and other addresses as subordinate concepts of the discourse range (map), and the question sentence search unit 372 shows information related to these discourse ranges, and is shown in FIG. Output the corresponding question text. The output unit 600 to which the question text is input from the management unit 310 outputs the input question text to the output unit 600.
[0250]
After that, as shown in FIG. 26, the answer sentence corresponding to the above question sentence (for example, “Where do you want to see“ map ”of“ prefecture ”?”) Is “I want to see a map of Tokyo”. In the case of “,” the morpheme extracted by the phrase analysis unit 420 is “Tokyo” and “map”, so the discourse range determination unit 340 holds the discourse range with these morphemes “Tokyo” and “map”. The discourse range (first morpheme information stored previously) stored in the section 501 is collated with each discourse range belonging to the subordinate concept of the “map”, and matches the morpheme from each discourse range. In the present embodiment, it is assumed that the talk range indicating “I want to see” is not included in the talk range (Tokyo).
[0251]
In addition, when the conversation range determination unit 340 cannot search for the conversation range that matches the extracted morpheme, the conversation range determination unit 340 does not search each conversation range of the subordinate concept. It is also possible to try a search between each discourse range of the superordinate concept as viewed from the discourse range and the extracted morphemes.
[0252]
The conversation range determination unit 340 that has searched for the conversation range (Tokyo) and the previous conversation range (map) stored in the conversation range holding unit 501 {addition 1 shown in FIG. "} Are combined, and the combined information is output to the map information search unit 371 as first morpheme information (Tokyo; map). As a result, the map information necessary for the user to output the map is sequentially obtained from the user, and the conversation range determination unit 340 obtains the map information obtained before and the map information acquired before that. By combining and making accurate map information, the map output unit 374 can accurately output a map corresponding to the map information based on the accurate map information (first morpheme information).
[0253]
Further, the map information search unit 371 to which the first morpheme information (Tokyo; map) is input from the discourse range determination unit 340, based on the input first morpheme information, the first morpheme information and each of the previously stored first morpheme information. The second morpheme information is collated, and the second morpheme information that matches the first morpheme information (Tokyo; map) is searched from each second morpheme information.
In this embodiment, for example, as shown in FIG. 27, when the user wants to see a desired map, the map information search unit 371 knows the map information (four) necessary for viewing the map. Otherwise, the second morpheme information that matches the first morpheme information cannot be searched. That is, when the first morpheme information is (Tokyo; map), the remaining two pieces of information are not known. Therefore, the map information search unit 371 displays the first morpheme information (Tokyo; map) and FIG. The second morpheme that matches the first morpheme information (Tokyo; map) from each second morpheme information even if collation is performed with the second morpheme information including the four product information shown in FIG. You cannot search for information.
[0254]
Therefore, as described above, the map information search unit 371 stores the input first morpheme information (Tokyo; map) in the discourse range holding unit 501 and the input first morpheme information as the question sentence search unit 372. Output to. Further, the map information search unit 371 outputs a question sentence output command signal for outputting a question sentence for further embodying the meaning content of the first morpheme information (Tokyo; map) to the question sentence search unit 372. .
[0255]
The question sentence search unit 372 to which the first morpheme information (Tokyo; map) and the question sentence output command signal are input from the map information search unit 371, as shown in FIG. 25, the input first morpheme information (Tokyo; In order to make the semantic content of the map) more specific, the question text (for example, “ku” of “Tokyo” is associated with the discourse range (Tokyo) (map) corresponding to the first morpheme information. "Do you want to see?") Is acquired from the conversation database 500, and the acquired question text is output to the management unit 310.
[0256]
Thereafter, as shown in FIG. 26, when the answer sentence corresponding to the question sentence is “A ward!”, The morpheme extracted by the sentence structure analysis unit 430 is “A ward” by the same processing as described above. The discourse range determination unit 340 subordinates the morpheme “A ward” and the discourse range (first morpheme information stored previously) stored in the discourse range holding unit 501 (Tokyo; map). Each discourse range (city, municipality, town; see FIG. 25) to which it belongs is collated, and the discourse range (A ward) that matches each morpheme “A ward” is searched from the respective discourse ranges.
[0257]
The conversation range determination unit 340 that has searched for the conversation range (A ward) and the searched conversation range (A ward) and the conversation range (Tokyo; map) stored in the conversation range holding unit 501 {shown in FIG. 26] The addition 2 ″} is combined, and the combined information is output to the map information search unit 371 as first morpheme information (Tokyo; map; A ward).
[0258]
The map information search unit 371 to which the first morpheme information (Tokyo; map; A ward) has been input from the discourse range determination unit 340 is based on the input first morpheme information and each of the first morpheme information stored in advance. The second morpheme information is collated, and the second morpheme information that matches the first morpheme information (Tokyo; map; A ward) is tried from each second morpheme information. In the present embodiment, as described above, as shown in FIG. 27, if the map information necessary for displaying the map is not known, the corresponding map cannot be searched. For this reason, when the first morpheme information is (map; Tokyo; A ward), since the remaining one (address) is not known as necessary map information, the conversation range determination unit 340, the map information The search unit 371 and the question text search unit 372 perform the same processing as described above in order to obtain the remaining one piece of map information.
[0259]
When each question sentence shown in FIG. 26 is outputted, an answer sentence corresponding to each outputted question sentence is obtained from the user, and all map information for outputting the corresponding map is prepared, that is, first In the case where the discourse range indicating the map information necessary for outputting the map desired by the user is included in the morpheme information, the map information search unit 371 requires, for example, as shown in FIG. Second morpheme information that matches the first morpheme information from among the second morpheme information using the first morpheme information (map; Tokyo; A-ku; The morpheme information is searched, and the searched second morpheme information is output to the map output command acquisition unit 373 (see FIG. 27).
[0260]
The map output command acquisition unit 373 is a second acquisition unit that acquires a map output command associated with the second morpheme information based on the second morpheme information searched by the map information search unit 371. Specifically, the map output command acquisition unit 373 to which the second morpheme information is input from the map information search unit 371, based on the input second morpheme information, the map output command associated with the second morpheme information. And outputs the acquired map output command to the map output unit 374.
[0261]
The map output unit 374 is an output unit that outputs a prestored map corresponding to the map output command on the screen based on the map output command acquired by the map output command acquisition unit 373. Specifically, the map output unit 374 to which the map output command is input from the map output command acquisition unit 373 causes the map corresponding to the input map output command to be output on the screen. Here, in this embodiment, each map is stored in advance in the conversation database 500 in association with a map output command.
[0262]
For example, the second morpheme information searched by the map information search unit 371 is (map; Tokyo; A ward; address α), and the map output command 1 associated with the second morpheme information is “Tokyo A” When the map output command acquisition unit 373 acquires the map output command 1 when the command is for outputting the map of the ward α address on the screen, the map output unit 374 acquires the acquired map output command. 1, a map stored in advance corresponding to the map output command 1 (a map of address A in the Tokyo area) is output on the screen (see FIG. 28).
[0263]
(Map output method using map output device)
The map output method by the map output device having the above configuration can be implemented by the following procedure. FIG. 29 is a flowchart showing the procedure of the map output method according to the present embodiment.
[0264]
As shown in the figure, first, the input unit 100 performs a step of acquiring the utterance content input from the user (S201). And the morpheme extraction part 410 performs the step which specifies the character string which comprises utterance content based on the utterance content acquired by the input part 100, and extracts each morpheme from the specified character string (S202, S203).
[0265]
Thereafter, the phrase analysis unit 420 collects each morpheme into a phrase format based on each morpheme extracted by the morpheme extraction unit 410. In the present embodiment, each morpheme belonging to one phrase format is collectively referred to as first morpheme information. The processing of S201 to S203 is the same as the processing of S101 to S104 described in the first embodiment. For this reason, the detailed description about these processes is abbreviate | omitted.
[0266]
Next, the discourse range determination unit 340 collates each morpheme extracted by the phrase analysis unit 420 with each discourse range stored in advance, and first sets each discourse range that matches each morpheme out of each discourse range. A step of searching as morpheme information is performed (S204). Specifically, the discourse range determination unit 340 to which each morpheme is input from the sentence structure analysis unit 430 collates each input morpheme with each discourse range stored in advance, and is input from each discourse range. Each discourse range that matches each morpheme is searched as first morpheme information, and the searched first morpheme information is output to the map information search unit 371 as a discourse search command signal.
[0267]
And the map information search part 371 collates 1st morpheme information and each 2nd morpheme information stored beforehand based on the 1st morpheme information searched in the discourse range determination part 340, and each 2nd morpheme information The second morpheme information that matches the first morpheme information is obtained (S205).
[0268]
Specifically, the map information search unit 371 to which the discourse search command signal is input from the discourse range determination unit 340 is based on the searched first morpheme information (each discourse range) corresponding to the input discourse range search command signal. Then, the first morpheme information and each second morpheme information stored in the conversation database 500 are collated, and second morpheme information matching the first morpheme information is searched from each second morpheme information.
[0269]
For example, as shown in FIG. 25, each discourse range stored in the conversation database 500 is a map, ... Tokyo, Osaka, Nagoya, ... A ward, B ward ... D village, E village, ... F village, G village ..., the sentence structure analysis unit 430 extracts each of the previously stored discourse ranges and the extracted morphemes (I; map; Tokyo; A ward). ; Α address; want to see), and from each discourse range, each discourse range (map; Tokyo) that matches (common) with each morpheme (I; map; Tokyo; A ward; α address; want to see) ; A ward; address α).
[0270]
Of the extracted morphemes, “I” and “I want to see” are not included in each pre-stored discourse range. The talk range determination unit 340 outputs each searched talk range to the map information search unit 371 as first morpheme information.
[0271]
Thereafter, the map information search unit 371 to which the first morpheme information is input from the discourse range determination unit 340, as shown in FIG. 27, based on the input first morpheme information (map; Tokyo). ; A ward; address α) and each second morpheme information stored in advance, second morpheme information that matches the first morpheme information (map; Tokyo; A ward; Search for address α. The map information search unit 371 that searched for the second morpheme information that matches the first morpheme information outputs the searched second morpheme information to the map output command acquisition unit 373.
[0272]
Next, the map output command acquisition unit 373 acquires a map output command associated with the second morpheme information based on the second morpheme information searched by the map information search unit 371 (S206). Specifically, the map output command acquisition unit 373 to which the second morpheme information is input from the map information search unit 371, based on the input second morpheme information, the map output command associated with the second morpheme information. And outputs the acquired map output command to the map output unit 374.
[0273]
Next, based on the map output command acquired by the map output command acquisition unit 373, the map output unit 374 outputs a map stored in advance corresponding to the map output command on the screen (S207). Specifically, the map output unit 374 to which the map output command is input from the map output command acquisition unit 373 causes the map corresponding to the input map output command to be output on the screen. Here, in this embodiment, each map is stored in advance in the conversation database 500 in association with a map output command.
[0274]
For example, the second morpheme information searched by the map information search unit 371 is (map; Tokyo; A ward; address α), and the map output command 1 associated with the second morpheme information is “Tokyo A” When the map output command acquisition unit 373 acquires the map output command 1 when the command is for outputting the map of the ward α address on the screen, the map output unit 374 acquires the acquired map output command. 1, a map stored in advance corresponding to the map output command 1 (a map of address A in the Tokyo area) is output on the screen (see FIG. 28).
[0275]
In this embodiment, as shown in FIG. 25, in order to see a map with a user, at least the prefecture (Tokyo, Osaka, etc.), ward, municipality (A ward, B ward,. -Each map information consisting of D village, E village,... F village, G village, etc.) and address (α address, β address, γ address, etc.) is sent to the map output device 3. It is necessary to grasp.
[0276]
That is, when the utterance content input from the user does not include all of the map information, the map output device 3 extracts information about the missing map information from the user from among the map information. It is necessary to ask various questions. The map output device 3 generates missing map information based on the answer sentences from the users corresponding to these various questions, and uses the generated map information to generate a series of map information (first morpheme). Information). Thereby, the map output apparatus 3 can output the map corresponding to map information correctly based on a series of completed map information (refer FIG. 25).
[0277]
The specific description of outputting the corresponding map based on the map information (first morpheme information) for which the map output device 3 has not been completed is as follows (S205, S208, S209). In addition, in this embodiment, the said map information shall mean each discourse range which comprises a 1st morpheme form.
[0278]
First, the map information search unit 371 collates the first morpheme information with each second morpheme information based on the first morpheme information searched by the discourse range determination unit 340, and from among each second morpheme information, If the second morpheme information that matches the first morpheme information cannot be acquired, each discourse range corresponding to the first morpheme information is temporarily stored in the discourse range holding unit 501 (S205).
[0279]
Next, the map information search unit 371 generates a question sentence for embodying the content of the utterance from the user (information necessary for outputting the map, for example, which map in the prefecture) The question sentence output command signal for outputting and the input first morpheme information are output to the question sentence search unit 372.
[0280]
In the question sentence search unit 372, the map information search unit 371 collates the first morpheme information with each second morpheme information based on the first morpheme information searched by the discourse range determination unit 340, and If the second morpheme information that matches the first morpheme information cannot be obtained from the morpheme information, from among the question texts associated with each of the discourse ranges corresponding to the first morpheme information, Any one question sentence is acquired (S208).
[0281]
Specifically, the question text search unit 372 to which the first morpheme information and the question text search command signal are input from the map information search unit 371, based on the input first morpheme information and the question text search command signal, A question sentence associated with the discourse range corresponding to the input first morpheme information is acquired from the conversation database 500, and the acquired question sentence is output to the management unit 310. The management unit 310 to which the question text is input from the question text search unit 372 outputs the input question text to the output unit 600, and the output unit 600 to which the question text is input from the management unit 310 is input to the question text. Are output via voice or on the screen.
[0282]
Thereafter, the conversation range determination unit 340 performs a step of complementing the first morpheme information (S209). Specifically, the sentence structure analysis unit 430 to which the answer sentence from the user corresponding to the question sentence searched by the question sentence search unit 372 is input, first, the answer sentence is handled based on the inputted answer sentence. Each morpheme constituting the minimum unit of the character string to be extracted is extracted as an answer morpheme.
[0283]
The conversation range determination unit 340 includes the reply morphemes extracted by the sentence structure analysis unit 430 and each conversation range stored in advance (this conversation range is temporarily stored in the conversation range holding unit 501 in the present embodiment). Each discourse range is compared with other discourse ranges corresponding to subordinate concepts), and each discourse range that matches the answer morpheme is searched from each discourse range. Each discourse range temporarily stored in the discourse range holding unit 501 is combined, and the combined result is output to the map information search unit 371 as first morpheme information (first morpheme information after complement).
[0284]
For example, when the response content from the user corresponding to the question sentence (what do you want to see?) Is “I want to see a map”, the morpheme extracted by the phrase analysis unit 420 is “Map”, “ Because it is “I want to see”, the conversation range determination unit 340 matches those morphemes “map” and “I want to see” with each of the previously stored conversation ranges, and matches those morphemes from each of the conversation ranges. The discourse range (map) to be searched is searched, and the searched discourse range (map) is output to the map information search unit 371 as first morpheme information. In the present embodiment, it is assumed that the conversation range indicating “I want to see” is not included in each conversation range.
[0285]
Then, the map information search unit 371 to which the first morpheme information is input from the discourse range determination unit 340 collates the input first morpheme information (map) with each second morpheme information, as shown in FIG. Since the first morpheme information (map) does not match each second morpheme information, the first morpheme information (map) is stored in the discourse range holding unit 501 and the first morpheme information “map” is stored in the question sentence search unit. To 372.
[0286]
Further, the map information search unit 371 outputs a question sentence output command signal for outputting a question sentence for further embodying the semantic content of the first morpheme information “map” to the question sentence search unit 372. The question text search unit 372 to which the first morpheme information “map” and the question text output command signal are input from the map information search unit 371, as shown in FIG. 25, for the input first morpheme information “map”. In order to obtain map information, the question text associated with the discourse range “map” corresponding to the first morpheme information (for example, which “map” of “prefectures” do you want to see? ") Is acquired from the conversation database 500, and the acquired question text is output to the management section 310. The output section 600 to which the question text is input from the management section 310 outputs the input question text to the output section 600. To do.
[0287]
After that, as shown in FIG. 26, the answer sentence corresponding to the above question sentence (for example, “Where do you want to see“ map ”of“ prefecture ”?”) Is “I want to see a map of Tokyo”. In the case of “,” the morpheme extracted by the phrase analysis unit 420 is “Tokyo” and “map”, so the discourse range determination unit 340 holds the discourse range with these morphemes “Tokyo” and “map”. The discourse range (first morpheme information stored previously) stored in the section 501 is collated with each discourse range belonging to the subordinate concept of the “map”, and matches the morpheme from each discourse range. In the present embodiment, it is assumed that the talk range indicating “I want to see” is not included in the talk range (Tokyo).
[0288]
The conversation range determination unit 340 that has searched for the conversation range (Tokyo) and the previous conversation range (map) stored in the conversation range holding unit 501 {addition 1 shown in FIG. "} Are combined, and the combined information is output to the map information search unit 371 as first morpheme information (Tokyo; map). As a result, the map information necessary for the user to output the map is sequentially obtained from the user, and the conversation range determination unit 340 obtains the map information obtained before and the map information acquired before that. By combining and making accurate map information, the map output unit 374 can accurately output a map corresponding to the map information based on the accurate map information (first morpheme information).
[0289]
Further, the map information search unit 371 to which the first morpheme information (Tokyo; map) is input from the discourse range determination unit 340, based on the input first morpheme information, the first morpheme information and each of the previously stored first morpheme information. The second morpheme information is collated, and the second morpheme information that matches the first morpheme information (Tokyo; map) is searched from each second morpheme information (repetition of S205).
In this embodiment, for example, as shown in FIG. 27, when the user wants to see a desired map, the map information search unit 371 knows the map information (four) necessary for viewing the map. Otherwise, the second morpheme information that matches the first morpheme information cannot be searched. That is, when the first morpheme information is (Tokyo; map), the remaining two pieces of information are not known. Therefore, the map information search unit 371 displays the first morpheme information (Tokyo; map) and FIG. The second morpheme that matches the first morpheme information (Tokyo; map) from each second morpheme information even if collation is performed with the second morpheme information including the four product information shown in FIG. You cannot search for information.
[0290]
Therefore, as described above, the map information search unit 371 stores the input first morpheme information (Tokyo; map) in the discourse range holding unit 501 and the input first morpheme information as the question sentence search unit 372. Output to. Further, the map information search unit 371 outputs a question sentence output command signal for outputting a question sentence for further embodying the meaning content of the first morpheme information (Tokyo; map) to the question sentence search unit 372. .
[0291]
The question sentence search unit 372 to which the first morpheme information (Tokyo; map) and the question sentence output command signal are input from the map information search unit 371, as shown in FIG. 25, the input first morpheme information (Tokyo; In order to make the semantic content of the map) more specific, the question text (for example, “ku” of “Tokyo” is associated with the discourse range (Tokyo) (map) corresponding to the first morpheme information. "Do you want to see?") Is acquired from the conversation database 500, and the acquired question text is output to the management unit 310 (repetition of S208).
[0292]
Thereafter, as shown in FIG. 26, when the answer sentence corresponding to the question sentence is “A ward!”, The morpheme extracted by the sentence structure analysis unit 430 is “A ward” by the same processing as described above. The discourse range determination unit 340 subordinates the morpheme “A ward” and the discourse range (first morpheme information stored previously) stored in the discourse range holding unit 501 (Tokyo; map). Each discourse range (city, municipality, town; see FIG. 25) to which it belongs is collated, and the discourse range (A ward) that matches each morpheme “A ward” is searched from the respective discourse ranges.
[0293]
The conversation range determination unit 340 that has searched for the conversation range (A ward) and the searched conversation range (A ward) and the conversation range (Tokyo; map) stored in the conversation range holding unit 501 {shown in FIG. 26] The addition 2 ″} is combined, and the combined information is output to the map information search unit 371 as first morpheme information (Tokyo; map; A ward) (repeat of S209).
[0294]
The map information search unit 371 to which the first morpheme information (Tokyo; map; A ward) has been input from the discourse range determination unit 340 is based on the input first morpheme information and each of the first morpheme information stored in advance. The second morpheme information is collated, and the second morpheme information matching with the first morpheme information (Tokyo; map; A ward) is searched from each second morpheme information (repeat of S205).
[0295]
In the present embodiment, as described above, as shown in FIG. 27, if the map information necessary for displaying the map is not known, the corresponding map cannot be searched. For this reason, when the first morpheme information is (map; Tokyo; A ward), since the remaining one (address) is not known as necessary map information, the conversation range determination unit 340, the map information The search unit 371 and the question text search unit 372 perform the same processing as described above in order to obtain the remaining one piece of map information (S208, S209).
[0296]
When each question sentence shown in FIG. 26 is outputted, an answer sentence corresponding to each outputted question sentence is obtained from the user, and all map information for outputting the corresponding map is prepared, that is, first In the case where the discourse range indicating the map information necessary for outputting the map desired by the user is included in the morpheme information, the map information search unit 371 requires, for example, as shown in FIG. Second morpheme information that matches the first morpheme information from among the second morpheme information using the first morpheme information (map; Tokyo; A-ku; The morpheme information is searched, and the searched second morpheme information is output to the map output command acquisition unit 373.
[0297]
Next, the map output command acquisition unit 373 to which the second morpheme information is input from the map information search unit 371 acquires the map output command associated with the second morpheme information based on the input second morpheme information. Then, the acquired map output command is output to the map output unit 374. The map output unit 374 to which the map output command is input from the map information search unit 371 causes the map stored in advance corresponding to the map output command to be output on the screen based on the input map output command.
[0298]
(Operation and effect of map output device and map output method)
According to the invention having the above-described configuration, the map information search unit 371 acquires each second morpheme information including the morpheme constituting the utterance content of the user from each second morpheme information, and a map output command acquisition unit 373 acquires a map output command associated with the second morpheme information based on the acquired second morpheme information, and the map output unit 374 previously corresponds to the map output command based on the acquired map output command. Since the stored map is output, the map output unit 374 can output a map related to the morpheme based on the morpheme constituting the utterance content from the user.
[0299]
As a result, if the user speaks toward the map output device 3, the map corresponding to the utterance can be output, so that the desired map can be referred to by a simple method. Further, since the user can refer to the desired map through conversation with the map output device 3, it is possible to save the trouble of inputting the conditions for referring to the desired map one by one. A desired map can be referred to even while driving.
[0300]
In addition, since the pre-stored conversation range indicates morphemes that are related to input information that will be input from the user or the response content to the user, the user is directed to the map output device 3, for example. When the information related to the map is uttered, the map output device 3 tries to answer the information related to the map, so the range (category) at this time means “map” Will do.
[0301]
In this case, when the conversation range determination unit 340 identifies the conversation range “map” based on the content of the utterance from the user, the map information search unit 371 selects each of the associated conversation ranges “map”. The second morpheme information is collated with the first morpheme information constituting the utterance content uttered by the user, and the second morpheme information that matches the first morpheme information is obtained from each second morpheme information. Since the map output unit 374 can output the corresponding map based on the map output command associated with the acquired second morpheme information, a specific discourse is required to output the corresponding map on the screen. Since only one map belonging to the range (category: map) is referred to and one map is acquired from each map, the corresponding map can be output immediately (short time).
[0302]
Furthermore, the map information search unit 371 compares the searched first morpheme information with each second morpheme information, and searches the second morpheme information for second morpheme information that matches the first morpheme information. If the first morpheme information does not include information (second morpheme information) that is at least necessary for outputting the map, the question sentence search unit 372 displays the first morpheme information. It is possible to output a question sentence for further embodying the meaning content.
[0303]
As a result, the map information search unit 371 clarifies the map information desired by the user based on the answer sentence from the user corresponding to the output question sentence, and then clarifies the map information ( Since the corresponding map can be output based on the first morpheme information), the map desired by the user can be output accurately.
[0304]
That is, the conversation range determination unit 340 extracts each morpheme included in the answer sentence as an answer morpheme based on the answer sentence from the user corresponding to the output question sentence, and the extracted answer morpheme is stored in advance. Each discourse range is collated, and a discourse range that matches the answer morpheme is searched from each discourse range, and the map information search unit 371 temporarily stores each discourse range (previous Each discourse range searched for) and the combined information can be used as the first morpheme information, so that the map information search unit 371 uses the first morpheme information searched for If the information required to output the desired map is not included, the previously retrieved first morpheme information may be supplemented using an answer sentence corresponding to the outputted question sentence. it can.
[0305]
As a result, the map information search unit 371 compares the complemented first morpheme information with the previously stored second morpheme information, and the second morpheme that matches the first morpheme information from each second morpheme information. Since the information can be searched, the map output unit 374 can accurately output the map desired by the user using the complemented first morpheme information.
[0306]
Note that a question sentence is associated with each discourse range, and each discourse range is associated with each other in advance so as to have a pre-defined high-order concept or sub-concept relationship, and the map information search unit 371 Matches the first morpheme information with each second morpheme information based on the retrieved first morpheme information, and obtains second morpheme information that matches the first morpheme information from each second morpheme information If not, the question sentence search unit 372 selects one discourse range corresponding to the lowest subordinate concept from each discourse range included in the first morpheme information, and associates it with the selected discourse range. You may acquire the question sentence.
[0307]
Thereby, the map information search part 371 collates 1st morpheme information and each 2nd morpheme information based on the searched 1st morpheme information, and it corresponds with 1st morpheme information from each 2nd morpheme information. When the second morpheme information to be acquired cannot be acquired, the question sentence search unit 372 selects one discourse range corresponding to the lowest subordinate concept from each discourse range corresponding to the first morpheme information. Since the question sentence associated with the selected discourse range can be acquired, the discourse range determination unit 340 is a content for further embodying the discourse range of the lowest concept in which the acquired question sentence is the lowest. The map information desired by the user can be further clarified.
[0308]
Note that the discourse range determination unit 340 applies the extracted answer morphemes (each morpheme included in the answer sentence) and each discourse range stored in the discourse range holding unit 501 (each discourse range searched previously). The other discourse ranges corresponding to the “subordinate concept” are collated, the discourse ranges matching the answer morphemes are searched from the other discourse ranges, and the searched discourse ranges and the discourse range holding unit 501 are searched. It is preferable to combine the stored discourse ranges and use the combined range as the first morpheme information.
[0309]
Thus, for example, the previously searched discourse range is “map”, and the discourse ranges corresponding to “subordinate concepts” of the discourse range “map” are “Tokyo”, “Osaka”, and so on. Furthermore, when the answer sentence corresponding to the question sentence is “I want to see a map of Tokyo”, the discourse range determination unit 340 forms the answer morpheme “Tokyo”, “Map”, and “I want to see” that constitute the answer sentence. And the discourse ranges “Tokyo”, “Osaka”, etc., corresponding to the above subordinate concepts, and the discourse range “Tokyo” that matches the two can be searched. The map output unit 374 uses the first morpheme information by combining the previously searched discourse range “map” and uses the combined range as the first morpheme information. Accurately output the map corresponding to the second morpheme information that matches Door can be.
[0310]
In other words, if the first morpheme information constituting the utterance content uttered by the user does not match each second morpheme information, the question sentence search unit 372 asks the question associated with the discourse range corresponding to the first morpheme information. The conversation range determination unit 340 outputs the sentence based on the answer sentence corresponding to the output question sentence and each conversation range corresponding to the “subordinate concept” of each conversation range searched previously. Since the first morpheme information can be complemented, if the first morpheme information (for example, a map) before complementing is a superordinate concept, the first morpheme information (eg, a subordinate concept for the superordinate concept) Map, Tokyo), and the map output unit 374 can more accurately output a map desired by the user (for example, a map of Tokyo) based on the supplemented first morpheme information. .
[0311]
The ratio calculation unit 361 calculates the ratio of the first morpheme information to the second morpheme information for each second morpheme information (topic title), and the selection unit 362 for each second morpheme information. One first morpheme information may be selected from each second morpheme information according to the calculated size of each ratio (see FIG. 17).
[0312]
In this case, the selection unit 362, for example, sets a plurality of second morpheme information groups that have a large proportion of the first morpheme information (morpheme constituting the user's utterance content) in the second morpheme information. If it can be acquired from the inside, the selection unit 362 can more accurately acquire the second morpheme information following the semantic space composed of the first morpheme information. As a result, the map output unit 374 Based on the map output command associated with the acquired second morpheme information, the map desired by the user can be output accurately.
[0313]
【The invention's effect】
As described above, according to the present invention, based on the utterance content uttered by the user, each morpheme included in the utterance content is extracted, and the corresponding map is displayed on the screen using the extracted morphemes. To output the map desired by the user on the screen through conversation, and accurately output the map desired by the user even if the utterance content spoken by the user is abbreviated Can be made.
[Brief description of the drawings]
FIG. 1 is a block diagram showing a schematic configuration of a conversation control system according to a first embodiment.
FIG. 2 is a block diagram showing an internal structure of a conversation control unit and a sentence analysis unit in the first embodiment.
FIG. 3 is a diagram showing the contents of each morpheme extracted by a morpheme extraction unit in the first embodiment.
FIG. 4 is a diagram showing the contents of each phrase extracted by a phrase analysis unit in the first embodiment.
FIG. 5 is a diagram showing the contents of “case” specified by the sentence structure analysis unit in the first embodiment.
FIG. 6 is a diagram showing an “uttered sentence type” specified by an utterance type determining unit in the first embodiment.
FIG. 7 is a diagram showing the contents of each dictionary stored in the utterance type database in the first embodiment.
FIG. 8 is a diagram showing the contents of a hierarchical structure built inside the conversation database in the first embodiment.
FIG. 9 is a diagram showing a detailed relationship of a hierarchical structure built inside the conversation database in the first embodiment.
FIG. 10 is a diagram showing the content of a “topic title” constructed within the conversation database in the first embodiment.
FIG. 11 is a diagram showing the content of “answer sentence type” associated with “topic title” built inside the conversation database in the first embodiment.
FIG. 12 is a diagram showing the contents of “topic title” and “answer sentence” belonging to “discourse range” built inside the conversation database in the first embodiment.
FIG. 13 is a diagram showing the contents of reflection element information stored in the reflection element database in the first embodiment.
FIG. 14 is a diagram showing the contents of a wrapping element and a morpheme of the wrapping element stored in the wrapping element database in the first embodiment.
FIG. 15 is a flowchart showing a procedure of a conversation control method according to the first embodiment.
FIG. 16 is a diagram showing utterance contents organized by a morpheme extraction unit in the first modification.
FIG. 17 is a diagram illustrating an internal configuration of a topic search unit in a second modified example.
FIG. 18 is a diagram illustrating a state in which the ratio calculation unit in the second modification collates each morpheme belonging to “case configuration” and each “topic title” for each “topic title”.
FIG. 19 is a diagram illustrating a state in which the ratio calculation unit in the second modified example collates each morpheme belonging to “each component” and each morpheme belonging to “topic title” for each “case”.
FIG. 20 is a diagram showing a schematic configuration of a conversation control system in a third modified example.
FIG. 21 is a diagram illustrating an internal configuration of a topic search unit in a fifth modification example.
FIG. 22 is a diagram illustrating a state in which the topic search unit in the sixth modification collates first morpheme information with a topic title or an answer sentence.
FIG. 23 is a diagram showing a recording medium for storing a program in the first embodiment.
FIG. 24 is a diagram showing an internal configuration of a map output device according to a second embodiment.
FIG. 25 is a diagram showing each discourse range stored in the conversation database according to the second embodiment and the contents of a question sentence associated with each discourse range.
FIG. 26 is a diagram showing a flow until a conversation range determination unit in the second embodiment creates final first morpheme information.
FIG. 27 collates the first morpheme information with each second morpheme information in the second embodiment, searches the second morpheme information for the second morpheme information that matches the first morpheme information, and searches It is a figure which shows the flow until it selects the goods discharge command linked | related with 2nd morpheme information.
FIG. 28 is a diagram showing a map output by a map output unit in the second embodiment.
FIG. 29 is a flowchart showing a procedure of a map output method according to the second embodiment.
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 1 ... Conversation control apparatus, 2 ... Server, 3 ... Map output apparatus, 100 ... Input part, 200 ... Voice recognition part, 300 ... Conversation control part, 310 ... Management part, 320 ... Reflective determination part, 330 ... Reversal determination part 340 ... Discourse range determination unit 350 ... abbreviated sentence complementing unit 360 ... topic search unit 361 ... ratio calculation unit 362 ... selection unit 363 ... deletion unit 364 ... discourse addition unit 370 ... answer sentence search unit, 371 ... Map information search part, 372 ... Question sentence search part, 373 ... Map output command acquisition part, 374 ... Map output part, 400 ... Sentence analysis part, 410 ... Morphological extraction part, 420 ... Sentence analysis part, 430 ... Sentence structure Analysis unit, 440 ... utterance type determination unit, 450 ... morpheme database, 460 ... utterance type database, 500 ... conversation database, 501 ... discourse range holding unit, 600 ... output unit, 700 ... speech recognition Document storage unit, 800 ... communication unit, 801 ... reflective element database, 802 ... turning element database, 900 ... communication unit, 1000 ... communication network, 1100 ... hard disk, 1200 ... flexible disk, 1300 ... compact disk, 1400 ... IC chip, 1500 ... cassette tape

Claims (18)

A morpheme consisting of a single character, multiple character strings, or a combination of these , and a map output to output the map desired by the user on the screen for the second morpheme information consisting of prefectures, wards, cities, towns and villages A morpheme storage unit that is associated with an instruction and stores a plurality of the second morpheme information in advance;
Character recognition means for identifying a character string indicating the input information based on the input information input by the user;
Morpheme extraction means for extracting at least one morpheme constituting the minimum unit of the character string based on the character string specified by the character recognition means;
A first acquisition unit that collates the morpheme with each of the second morpheme information and acquires the second morpheme information including the morpheme from the second morpheme information;
Second acquisition means for acquiring the map output command associated with the second morpheme information based on the second morpheme information acquired by the first acquisition means;
Based on the map output instruction acquired by the second acquisition means, and output means for outputting the previously stored map corresponding to該地view output instruction on the screen,
Indicates the morpheme that is relevant to the input information that will be input by the user or the content of the response to the user, and a plurality of the second morpheme information is associated with the discourse range that is a prefecture, city, town, or street address. The second morpheme information is associated with the map output command, and a discourse storage means for storing a plurality of discourse ranges in advance,
A discourse search that collates the morpheme extracted by the morpheme extraction means with each discourse range stored in advance, and searches the discourse range that matches the morpheme from the discourse ranges as first morpheme information. Means,
The first acquisition means collates the first morpheme information with each of the second morpheme information based on the first morpheme information searched by the discourse search means, and from among the second morpheme information The map output device, wherein the second morpheme information that matches the first morpheme information is acquired. The map output device according to claim 1 ,
Each of the second morpheme information is associated with the discourse range, and each of the plurality of discourse ranges is associated with a question sentence for retrieving detailed information about a map that the user desires to output. And
Based on the first morpheme information searched by the discourse search means, the first morpheme information is compared with the second morpheme information, and the first morpheme information If the matching second morpheme information cannot be obtained, one of the question sentences is selected from the question sentences associated with each of the discourse ranges included in the first morpheme information. A map output device comprising a question sentence acquisition means for acquiring. The map output device according to claim 2 ,
The second morpheme information has map information of prefectures, municipalities, and addresses,
Each of the second morpheme information is associated with the discourse range, and a plurality of the discourse ranges are associated with a question sentence for retrieving the map information about a map that the user desires to output. And
The question sentence acquisition means collates the first morpheme information with the second morpheme information based on the first morpheme information searched by the discourse search part, and from among the second morpheme information In the case where the second morpheme information that matches the first morpheme information cannot be obtained, from among the question sentences associated with each of the discourse ranges included in the first morpheme information, A map output device characterized by acquiring a question sentence that asks a user for map information lacking in first morpheme information. The map output device according to claim 3 ,
The map is characterized in that the order of the subordinate concept from the superordinate concept of the discourse range is a prefecture, a ward, a municipality, and an address, and the question sentence obtaining means obtains a question sentence that asks the user for map information according to the order. Output device. The map output device according to any one of claims 2 to 4 ,
The first acquisition means collates the first morpheme information with each of the second morpheme information based on the first morpheme information searched by the discourse search means, and from among the second morpheme information When the second morpheme information that matches the first morpheme information cannot be acquired, the discourse ranges included in the first morpheme information are temporarily stored,
The morpheme extraction means, based on the answer sentence from the user corresponding to the question sentence acquired by the question sentence acquisition means, at least one of the character strings corresponding to the answer sentence Extract morphemes as answer morphemes,
The discourse search means collates the answer morphemes extracted by the morpheme extraction means with the respective discourse ranges stored in advance, and searches the discourse ranges that match the answer morphemes from the discourse ranges. A map output device characterized in that the searched conversation range and each of the temporarily stored conversation ranges are combined, and the combination is used as the first morpheme information. The map output device according to any one of claims 1 to 5,
The first morpheme information extracted by the morpheme extraction means is compared with each fixed content that is an answer to the fixed content against the utterance content from the user, and includes the first morpheme information from the fixed content Reflexive judgment means for searching and outputting fixed contents;
When the standard content cannot be searched by the reflective determination means, the current first morpheme information is compared with the past answer content, and it is determined that the current first morpheme information is included in the past answer content A map output device comprising: a reversion determining unit that obtains agreement content that agrees with input information input by a user, and that outputs an answer sentence including the obtained agreement content. A morpheme consisting of a single character, multiple character strings, or a combination of these , and a map output to output the map desired by the user on the screen for the second morpheme information consisting of prefectures, wards, cities, towns and villages An instruction is associated, and a step of storing a plurality of the second morpheme information in the morpheme storage means in advance;
A step of identifying a character string indicating the input information based on the input information input from the user by the character recognition means ;
A morpheme extraction unit that extracts at least one morpheme constituting a minimum unit of the character string based on the character string specified by the character recognition unit ;
A first obtaining means collating the morpheme with each of the second morpheme information, and obtaining the second morpheme information including the morpheme from the respective second morpheme information;
A second obtaining unit obtaining the map output command associated with the second morpheme information based on the second morpheme information obtained by the first obtaining unit ;
Outputting the map stored in advance on the screen corresponding to the map output command based on the map output command acquired by the second acquisition unit ;
A plurality of the second morpheme information is associated with the discourse range indicating the morpheme that is related to the input information that will be input from the user or the response content to the user, A step of storing a plurality of the discourse ranges in the discourse storage means in advance, wherein the map output instructions are associated with each;
The discourse search means collates the morpheme extracted by the morpheme extraction means with each discourse range stored in advance, and the discourse range that matches the morpheme is selected as the first morpheme information from the discourse ranges. Searching, and
Based on the first morpheme information searched by the discourse search unit by the first acquisition unit, the first morpheme information and the second morpheme information are collated, and from the second morpheme information, Obtaining the second morpheme information that coincides with the first morpheme information. The map output method according to claim 7 ,
Each of the second morpheme information is associated with the discourse range, and each of the plurality of discourse ranges is associated with a question sentence for retrieving detailed information about a map that the user desires to output. And
Based on the first morpheme information searched by the discourse search unit, the question sentence acquisition unit collates the first morpheme information and the second morpheme information, and from the second morpheme information, If the second morpheme information that matches the first morpheme information cannot be acquired, any one of the question texts associated with each of the discourse ranges included in the first morpheme information is selected. The map output method characterized by acquiring one said question sentence. The map output method according to claim 8 ,
The second morpheme information has map information of prefectures, municipalities, and addresses,
Each of the second morpheme information is associated with the discourse range, and a plurality of the discourse ranges are associated with a question sentence for retrieving the map information about a map that the user desires to output. And
Based on the first morpheme information searched by the discourse search unit, the question sentence acquisition unit collates the first morpheme information with the second morpheme information, and from among the second morpheme information In the case where the second morpheme information that matches the first morpheme information cannot be obtained, from among the question sentences associated with each of the discourse ranges included in the first morpheme information, A map output method, comprising: obtaining a question sentence that asks a user for map information lacking in first morpheme information. The map output method according to claim 9 , comprising:
The order of the subordinate concept from the superordinate concept of the discourse range is a prefecture, a municipality, and an address, and the question sentence acquisition means acquires a question sentence for hearing map information from the user according to the order. Map output method. A map output method according to any one of claims 8 to 10 ,
The first acquisition means collates the first morpheme information with the second morpheme information based on the first morpheme information searched by the discourse search means, and from among the second morpheme information If the second morpheme information that matches the first morpheme information cannot be obtained, temporarily storing each discourse range included in the first morpheme information;
The morpheme extraction means , based on an answer sentence from a user corresponding to the question sentence acquired by the question sentence acquisition means, at least one of the character strings corresponding to the answer sentence Extracting morphemes as answer morphemes;
The discourse search means collates the answer morpheme extracted by the morpheme extraction means with each of the previously stored discourse ranges, and searches the discourse range for the discourse range that matches the answer morpheme. And a step of combining the searched conversation range with each of the temporarily stored conversation ranges and using the combined range as the first morpheme information. A map output method according to any one of claims 7 to 11,
The reflexive determination means collates the first morpheme information extracted by the morpheme extraction means and each fixed content that is an answer of the fixed content against the utterance content from the user, and from among the respective fixed content, Searching for and outputting fixed content including monomorphic information;
When the repetitive determination means cannot retrieve the standard content by the reflective determination means, the current first morpheme information is compared with the past response content, and the current first morpheme information is included in the past response content. A map output method comprising the steps of: acquiring an agreement content that agrees with input information input by a user, and outputting an answer sentence composed of the acquired agreement content. On the computer,
A morpheme consisting of a single character, multiple character strings, or a combination of these , and a map output to output the map desired by the user on the screen for the second morpheme information consisting of prefectures, wards, cities, towns and villages A morpheme storage unit that is associated with an instruction and stores a plurality of the second morpheme information in advance;
Character recognition means for identifying a character string indicating the input information based on the input information input by the user;
Morpheme extraction means for extracting at least one morpheme constituting the minimum unit of the character string based on the character string specified by the character recognition means ;
A first acquisition unit that collates the morpheme with each of the second morpheme information and acquires the second morpheme information including the morpheme from the second morpheme information;
Second acquisition means for acquiring the map output command associated with the second morpheme information based on the second morpheme information acquired by the first acquisition means ;
Based on the map output instruction acquired by the second acquisition means, an output means for outputting a prestored map corresponding to the map output instruction on the screen;
A plurality of the second morpheme information is associated with the discourse range indicating the morpheme that is related to the input information that will be input from the user or the response content to the user, The map output command is associated with each, and a discourse storage means for storing a plurality of discourse ranges in advance,
A discourse search that collates the morpheme extracted by the morpheme extraction unit with each discourse range stored in advance, and searches the discourse range that matches the morpheme from the discourse ranges as first morpheme information. Function as a means,
Further, the first acquisition means collates the first morpheme information with the second morpheme information based on the first morpheme information searched by the discourse search means, and A program for executing processing for acquiring the second morpheme information that matches the first morpheme information from the inside. The program according to claim 13 ,
Each of the second morpheme information is associated with the discourse range, and each of the plurality of discourse ranges is associated with a question sentence for retrieving detailed information about a map that the user desires to output. And
Based on the first morpheme information searched by the discourse search means, the first morpheme information and each second morpheme information are collated, and the first morpheme information If the matching second morpheme information cannot be acquired, one of the question sentences is selected from the question sentences associated with each of the discourse ranges included in the first morpheme information. A program for functioning as a question sentence acquisition means to acquire . The program according to claim 14 , wherein
The second morpheme information has map information of prefectures, municipalities, and addresses,
Each of the second morpheme information is associated with the discourse range, and a plurality of the discourse ranges are associated with a question sentence for retrieving the map information about a map that the user desires to output. And
Based on the first morpheme information retrieved by the discourse retrieval unit, the question sentence acquisition unit collates the first morpheme information with the second morpheme information, and from among the second morpheme information In the case where the second morpheme information that matches the first morpheme information cannot be obtained, from among the question sentences associated with each of the discourse ranges included in the first morpheme information, A program for processing to obtain a question sentence that asks the user for map information lacking in the first morpheme information. The program according to claim 15 ,
The order of the lower-level concepts from the preamble of discourse talk range prefectures, municipalities, is the address, in the question-sentence acquisition means, of the order to the process of acquiring the question that elicit the map information from the user in accordance with the order program. A program according to any one of claims 14 to 16 , wherein
Based on the first morpheme information retrieved by the discourse retrieval unit, the first acquisition unit collates the first morpheme information with each of the second morpheme information, and from among each of the second morpheme information When the second morpheme information that matches the first morpheme information cannot be acquired, the process for temporarily storing each discourse range included in the first morpheme information is executed,
Based on the answer sentence from the user corresponding to the question sentence acquired by the question sentence acquiring means, the morpheme extracting means constitutes at least one of the character strings corresponding to the answer sentence. Execute processing to extract morphemes as answer morphemes ,
The discourse search means collates the answer morpheme extracted by the morpheme extraction means with each of the previously stored discourse ranges, and searches the discourse range for the discourse range that matches the answer morpheme. A program for combining the searched conversation range with each of the temporarily stored conversation ranges and processing the combined range as the first morpheme information. A program according to any one of claims 13 to 17,
The first morpheme information extracted by the morpheme extraction means is compared with each fixed content that is an answer to the fixed content against the utterance content from the user, and includes the first morpheme information from the fixed content It functions as a reflexive judgment means that searches and outputs fixed contents,
When the standard content cannot be searched by the reflective determination means, the current first morpheme information is compared with the past answer content, and it is determined that the current first morpheme information is included in the past answer content Includes a program for acquiring agreement content that agrees with input information input by a user, and for functioning as a return determination unit that outputs an answer sentence including the obtained agreement content.

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