JP4205370B2 - Conversation control system, conversation control method and program - Google Patents

Conversation control system, conversation control method and program Download PDF

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Publication number
JP4205370B2
JP4205370B2 JP2002180465A JP2002180465A JP4205370B2 JP 4205370 B2 JP4205370 B2 JP 4205370B2 JP 2002180465 A JP2002180465 A JP 2002180465A JP 2002180465 A JP2002180465 A JP 2002180465A JP 4205370 B2 JP4205370 B2 JP 4205370B2
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Prior art keywords
morpheme
information
morpheme information
user
unit
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JP2004021235A (en
Inventor
裕 勝倉
淳 富士本
和生 岡田
声揚 黄
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アルゼ株式会社
株式会社ピートゥピーエー
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Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a conversation control system, a conversation control method, and a program for outputting an image related to input information based on input information from a user.
[0002]
[Prior art]
2. Description of the Related Art Conventionally, there is a conversation control device that outputs predetermined answer contents based on input information uttered by a user. Since this conversation control device can output the response content corresponding to the input information from the user, especially if a person living alone installs the conversation control device at home, the person speaks to the conversation control device. By doing things, you can eliminate the loneliness of living alone.
[0003]
[Problems to be solved by the invention]
However, the above-mentioned conversation control device only stops outputting the answer contents corresponding to the input information from the user, and displays an image etc. related to the conversation contents currently being talked with the user on the screen. The user did not feel that he / she was communicating with the conversation control device and felt something unsatisfactory.
[0004]
On the other hand, if the conversation control device is based on the conversation content with the user, an image related to the conversation content, for example, if the conversation content is related to baseball, a pattern image in which a baseball player appears. If it can be displayed on the screen, the user can feel as if he / she is communicating with the conversation control device, and also enjoy talking while watching the moving image displayed on the screen. Can do.
[0005]
Therefore, the present invention has been made in view of the above points, and based on input information such as voice input from a user, an image related to the input information is displayed on the screen, so that a person can communicate. It is an object of the present invention to provide a conversation control system, a conversation control method, and a program capable of giving a user an impression as if taking a message.
[0006]
[Means for Solving the Problems]
The invention according to the present application has been made in order to solve the above-mentioned problems, and within a discourse range indicating morphemes that are related to input information such as voice that will be input from the user or the response content to the user. Is associated with the first image related to the semantic content of the morphemes that make up the discourse range, stores a plurality of discourse ranges in advance, and inputs information based on input information such as voice input from the user Is identified, and based on the identified character string, each morpheme constituting the minimum unit of the character string is extracted as first morpheme information, and the extracted first morpheme information and each discourse range are collated Then, from each discourse range, a discourse range that matches the morpheme included in the first morpheme information is searched, and a first image associated with the discourse range is acquired based on the searched discourse range, and acquired. Displayed first image Wherein the Rukoto.
[0007]
According to the invention according to the present application, the conversation control device extracts the first morpheme information based on the input information from the user, collates the extracted first morpheme information with each discourse range, From the range, the discourse range that matches the morpheme included in the first morpheme information is searched, the first image associated with the discourse range is acquired based on the searched discourse range, and the acquired first image Thus, the conversation control device can give the user the impression that he / she is communicating by displaying an image related to the input information from the user on the screen.
[0008]
In particular, since the image to be displayed on the screen is associated with the discourse range indicating the morpheme related to the input information that will be input from the user or the answer content to the user, the conversation control device If the user's input information includes the above conversation range, the image associated with the conversation range can be displayed on the screen, so that an image close to the current conversation content is displayed on the screen. Can do. Thereby, since the image related to the input information uttered by himself / herself is displayed on the screen, the user can feel as if he / she is communicating with the conversation control device.
[0009]
In the above configuration, the discourse range indicating the morpheme related to the input information that will be input from the user or the response content to the user consists of one character, a plurality of character strings, or a combination thereof. A plurality of second morpheme information indicating morphemes are associated, and each second morpheme information is associated with a second image related to the semantic content of the second morpheme information, and associated with the searched discourse range. Each second morpheme information that has been extracted and the extracted first morpheme information are collated, second morpheme information including the first morpheme information is searched from each second morpheme information, and the second searched Based on the morpheme information, a second image associated with the second morpheme information can be acquired, and the acquired second image can be displayed.
[0010]
In this case, the conversation control device collates each second morpheme information associated with the searched discourse range with the extracted first morpheme information, and from each second morpheme information, the first morpheme information The second morpheme information including the second morpheme information, the second image associated with the second morpheme information is acquired based on the searched second morpheme information, and the acquired second image is displayed on the screen. Therefore, the conversation control device can display an image showing the content closer to the input information from the user on the screen based on the searched second morpheme information.
[0011]
In particular, since the image to be displayed on the screen is associated with the second morpheme information belonging to the discourse range, the conversation control device has identified and identified the first morpheme information constituting the input information from the user. If the second morpheme information that matches the first morpheme information can be acquired, the conversation control device can display an image closer to the input information from the user on the screen based on the acquired second morpheme information. it can.
[0012]
In the above configuration, the extracted first morpheme information is compared with each second morpheme information, and for each second morpheme information, the ratio of the first morpheme information to the second morpheme information is calculated, According to the size of each ratio calculated for each second morpheme information, one second morpheme information is selected from each second morpheme information, and based on the selected second morpheme information, A second image associated with the dimorphic information can be acquired.
[0013]
In this case, the conversation control device calculates the ratio of the first morpheme information to the second morpheme information for each second morpheme information, and calculates the ratio of each ratio calculated for each second morpheme information. Since one second morpheme information can be selected from each second morpheme information according to the size, the conversation control device, for example, includes first morpheme information (elements constituting user input information). ) Is acquired from a plurality of second morpheme information groups, the second morpheme information that follows the semantic space composed of the first morpheme information. Can be acquired more accurately, and as a result, an image closer to the input information from the user can be displayed on the screen based on the acquired second morpheme information.
[0014]
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.
[0015]
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.
[0016]
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”.
[0017]
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”.
[0018]
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.
[0019]
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.
[0020]
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.
[0021]
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.
[0022]
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.
[0023]
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,.
[0024]
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 extracts a morpheme 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.
[0025]
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.
[0026]
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.
[0027]
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.
[0028]
The phrase analysis unit 420 that summarizes 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.
[0029]
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, based on each morpheme corresponding to the input sentence pattern signal and a phrase composed of each morpheme, Determine the “case composition”.
[0030]
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.
[0031]
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). For example, when the dependency element of each morpheme is “NO” or “NO”, the sentence structure analysis unit 430 determines that the morpheme before the dependency element is an object (target).
[0032]
Further, the sentence structure analysis unit 430, for example, when the dependency element of each morpheme is “Yes”, the morpheme preceding the dependency element is an action (predicate; this predicate is composed of a verb, an adjective, and the like). It is determined that
[0033]
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.
[0034]
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.
[0035]
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.
[0036]
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.
[0037]
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.
[0038]
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.
[0039]
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 “-”).
[0040]
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”.
[0041]
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.
[0042]
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.
[0043]
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.
[0044]
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.
[0045]
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. .
[0046]
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.
[0047]
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.
[0048]
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.
[0049]
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). .
[0050]
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.
[0051]
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.
[0052]
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".
[0053]
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.
[0054]
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).
[0055]
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).
[0056]
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.
[0057]
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 sentence "Sato's home run is very impressive"), (EA; a result affirming sentence "I always watch Sato's games on TV"), (TA; time affirmative sentence "I actually like it from the five-batt continual refrain in Koshien"), (LA; place affirmative sentence "I like the serious face when I stood"), (NA A repulsive affirmative sentence "I don't want to talk to people who don't like Sato, goodbye").
[0058]
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.
[0059]
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.
[0060]
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. .
[0061]
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?""Typicalelements" such as
[0062]
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.
[0063]
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.
[0064]
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.
[0065]
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.
[0066]
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.
[0067]
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 this embodiment, the return element is composed of the 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).
[0068]
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”.
[0069]
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).
[0070]
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.
[0071]
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.
[0072]
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.
[0073]
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."
[0074]
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.
[0075]
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.
[0076]
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.
[0077]
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).
[0078]
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. Process to output.
[0079]
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.
[0080]
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.
[0081]
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.
[0082]
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.
[0083]
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.
[0084]
As described above, the discourse range determination unit 340 compares the first morpheme information with 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 searched immediately before 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.
[0085]
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.
[0086]
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.
[0087]
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.
[0088]
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.
[0089]
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.
[0090]
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.
[0091]
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.
[0092]
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.
[0093]
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.
[0094]
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.
[0095]
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.
[0096]
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.
[0097]
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.
[0098]
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.
[0099]
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}.
[0100]
(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.
[0101]
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.
[0102]
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.
[0103]
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).
[0104]
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.
[0105]
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.
[0106]
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.
[0107]
The phrase analysis unit 420 that summarizes 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.
[0108]
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, based on each morpheme corresponding to the input sentence pattern signal and a phrase composed of each morpheme, Determine the “case composition”.
[0109]
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). For example, when the dependency element of each morpheme is “NO” or “NO”, the sentence structure analysis unit 430 determines that the morpheme before the dependency element is an object (target).
[0110]
Further, the sentence structure analysis unit 430, for example, when the dependency element of each morpheme is “Yes”, the morpheme preceding the dependency element is an action (predicate; this predicate is composed of a verb, an adjective, and the like). It is determined that
[0111]
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.
[0112]
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.
[0113]
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.
[0114]
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.
[0115]
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).
[0116]
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.
[0117]
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.
[0118]
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;
[0119]
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.
[0120]
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.
[0121]
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).
[0122]
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).
[0123]
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.
[0124]
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.
[0125]
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).
[0126]
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.
[0127]
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; *; *).
[0128]
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.
[0129]
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).
[0130]
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.
[0131]
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.
[0132]
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.
[0133]
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).
[0134]
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.
[0135]
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.
[0136]
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}.
[0137]
(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 you are possible to answer the same boilerplate content "Hello" or the like.
[0138]
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.
[0139]
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.
[0140]
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.
[0141]
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.
[0142]
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.
[0143]
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.
[0144]
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.
[0145]
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.
[0146]
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.
[0147]
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.
[0148]
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.
[0149]
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 to complement the first morpheme information consisting of abbreviated sentences.
[0150]
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.
[0151]
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.
[0152]
[Example of change]
In addition, this invention is not limited to the said embodiment, The change as shown below can be added.
[0153]
(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.
[0154]
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, when 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”.
[0155]
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”.
[0156]
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.
[0157]
(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.
[0158]
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.
[0159]
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.
[0160]
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.
[0161]
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.
[0162]
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.
[0163]
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 the 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.
[0164]
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”.
[0165]
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.
[0166]
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.
[0167]
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.
[0168]
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.
[0169]
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%).
[0170]
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).
[0171]
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.
[0172]
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.
[0173]
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?”
[0174]
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.
[0175]
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.
[0176]
(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).
[0177]
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.
[0178]
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 or the like related to each morpheme (first morpheme information) belonging to “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.
[0179]
(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.
[0180]
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.
[0181]
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.
[0182]
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.
[0183]
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.
[0184]
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.
[0185]
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.
[0186]
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.
[0187]
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. .
[0188]
(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.
[0189]
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.
[0190]
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.
[0191]
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).
[0192]
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.
[0193]
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.
[0194]
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).
[0195]
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? }.
[0196]
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.
[0197]
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.
[0198]
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.
[0199]
(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.
[0200]
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.
[0201]
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.
[0202]
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.
[0203]
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.
[0204]
[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.
[0205]
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.
[0206]
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.
[0207]
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.
[0208]
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.
[0209]
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.
[0210]
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.
[0211]
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).
[0212]
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.
[0213]
[Second Embodiment]
(Basic configuration of conversation control system)
A second embodiment of the present invention will be described with reference to the drawings. FIG. 24 shows the internal structure of the conversation control system according to this embodiment. As shown in the figure, the conversation control system is almost the same as the internal structure of the conversation control apparatus 1 (information processing apparatus) in the first embodiment, but has an image acquisition unit 371 instead of the answer sentence search unit 370. It is different in point. 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.
[0214]
In the first embodiment, the process in which the conversation control apparatus 1 acquires the optimum answer sentence corresponding to the utterance content based on the utterance content from the user has been described. However, in the present embodiment, the image acquisition unit 371 This is different in that a moving image related to the utterance content is output based on the utterance content from the user. The specific explanation is as follows.
[0215]
The image acquisition unit 371 is an image acquisition unit that acquires a first image associated with a conversation range based on the conversation range searched by the conversation range determination unit 340. Specifically, the image acquisition unit 371 to which the topic search command signal is input from the talk range determination unit 340, the first associated with the talk range based on the determined talk range included in the input topic search command signal. One image is acquired from the conversation database 500.
[0216]
Here, in the discourse range indicating the morpheme related to the utterance content that will be input from the user or the answer content to the user, the first image related to the semantic content of the morpheme constituting the discourse range Are associated with each other, and the conversation database 500 (discourse storage means) stores a plurality of discourse ranges in advance. In the present embodiment, the first image means a moving image associated with the discourse range.
[0217]
That is, as shown in FIG. 25, in the conversation database 500, in the present embodiment, moving images 1 to 4 are associated with each of the discourse ranges A to D, respectively. As described above, this moving image is related to the semantic content of the morphemes constituting the conversation range. In this embodiment, for example, as shown in FIG. For example, a continuous pattern image of a player swinging a bat. In addition, if the talk range is “rainy season”, a pattern image in which a specific image is conversing while pointing at an umbrella may be used.
[0218]
Specifically, the image acquisition unit 371 to which the topic search command signal is input from the talk range determination unit 340, for example, the talk range corresponding to the input topic search command signal (for example, “Discourse range A” shown in FIG. 25). ), The moving image 1 associated with the discourse range A is acquired from the conversation database 500, and the acquired moving image 1 is output to the management unit 310. The management unit 310 to which the moving image 1 is input from the image acquisition unit 371 outputs the input moving image 1 to the output unit 600, and the output unit 600 to which the moving image 1 is input from the management unit 310 is input. The moving image 1 is output on the screen.
[0219]
Note that the image acquisition unit 371 may be an image acquisition unit that acquires a second image associated with the topic title based on the topic title searched by the topic search unit 360. Here, a morpheme consisting of one character, a plurality of character strings, or a combination thereof is included in the discourse range indicating the morpheme related to the utterance content that will be input from the user or the answer content to the user. A plurality of topic titles (second morpheme information) to be displayed are associated with each topic title, and a second image related to the semantic content of the topic title is associated with each topic title. I remember it. In the present embodiment, this second image means a moving image associated with the topic title.
[0220]
That is, in the conversation database 500, as shown in FIG. 27, in the present embodiment, the moving image 1 to n is associated with each of the topic titles 1 to n. As described above, this moving image relates to the morphemes constituting the topic title. In this embodiment, for example, as shown in FIG. 28, the talk range is (baseball) and the topic title is (Sato). ; *; Struck) If {Sato struck}, a continuous pattern image in which a baseball Sato player is hit is cited.
[0221]
In addition, as shown in the figure, if the range of conversation is (baseball) and the topic title is (Sato; Such a continuous pattern image is mentioned. Furthermore, as shown in the figure, if the discourse range is (baseball) and the topic title is (Sato; *; stealed) {Sato stole}, it seems that the baseball player Sato has stolen. A continuous pattern image.
[0222]
Specifically, the image acquisition unit 371 to which the search result signal is input from the topic search unit 360, for example, based on the topic title (for example, topic title 1) corresponding to the input search result signal, the topic title 1 Is acquired, and the acquired moving image 1-1 is output to the management unit 310.
[0223]
Note that the ratio calculation unit 361 calculates the ratio of the first morpheme information to the topic title for each topic title, and the selection unit 362 responds to the size of each ratio calculated for each topic title. One topic title may be selected from the topic titles (see FIG. 17).
[0224]
In this case, for example, the selection unit 362 may acquire a topic title having a large ratio of the first morpheme information (element constituting the user input information) in the topic title from a plurality of topic title groups. If possible, the selection unit 362 can more accurately acquire the topic title that follows the semantic space composed of the first morpheme information, and as a result, the image acquisition unit 371, based on the acquired topic title. An image closer to the utterance content from the user can be displayed on the screen.
[0225]
(Conversation control method using conversation control system)
The conversation control method by the conversation control system having the above configuration can be implemented by the following procedure. FIG. 29 is a flowchart showing the procedure of the conversation control method according to the present embodiment.
[0226]
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).
[0227]
Thereafter, 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 (S204). In the present embodiment, each morpheme belonging to one phrase format is collectively referred to as first morpheme information. The processing of S201 to S204 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.
[0228]
Next, the discourse range determination unit 340 collates the first morpheme information with each discourse range group stored in the conversation database 500, and from each discourse range group, the morpheme included in the first morpheme information When the matching discourse range can be acquired, the image acquisition unit 371 acquires the moving image associated with the discourse range from the conversation database 500 (S205, S206).
[0229]
Specifically, the image acquisition unit 371 to which the topic search command signal is input from the conversation range determination unit 340, when the input topic search command signal includes the talk range, the conversation range (for example, FIG. 25, the moving image 1 associated with the conversation range A is acquired from the conversation database 500, and the acquired moving image 1 is output to the management unit 310. The management unit 310 to which the moving image 1 is input from the image acquisition unit 371 outputs the input moving image 1 to the output unit 600, and the output unit 600 to which the moving image 1 is input from the management unit 310 is input. The moving image 1 is output on the screen.
[0230]
(Operation and effect of conversation control system and conversation control method)
According to the invention having the above configuration, the morpheme extraction unit 410 extracts the first morpheme information based on the utterance content from the user, and the discourse range determination unit 340 extracts the extracted first morpheme information and each discourse range. And from each discourse range, the discourse range that matches the morpheme included in the first morpheme information is searched, and the image acquisition unit 371 is based on the discourse range searched by the discourse range determination unit 340. Since the image associated with the conversation range can be acquired, the image acquisition unit 371 displays an image related to the utterance content from the user on the screen based on the conversation range searched by the conversation range determination unit 340. It can be displayed, and the user can give the user an impression of communication.
[0231]
In particular, since the image to be displayed on the screen is associated with the discourse range indicating the morpheme related to the utterance content that will be input from the user or the answer content to the user, the image acquisition unit 371 If the content of the utterance from the user includes the above conversation range, the image associated with the conversation range can be displayed on the screen, so that an image close to the current conversation content is displayed on the screen. be able to. As a result, the image related to the utterance content uttered by the user is displayed on the screen, so that the user can feel as if he / she is communicating with the conversation control device.
[0232]
Further, the topic search unit 360 collates each topic title associated with the conversation range searched by the conversation range determination unit 340 with the first morpheme information extracted by the morpheme extraction unit 410, and A topic title including the first morpheme information is searched from among them, and the image acquisition unit 371 acquires an image associated with the topic title based on the topic title searched by the topic search unit 360, and acquires the acquired image. Since it can be displayed on the screen, the image acquisition unit 371 can display on the screen an image showing the content closer to the utterance content from the user based on the searched topic title.
[0233]
In particular, since the image to be displayed on the screen is associated with the topic titles belonging to the discourse range, the topic search unit 360 acquires a topic title that matches the first morpheme information extracted by the morpheme extraction unit 410. If possible, since the topic title is close to the utterance content from the user, the image acquisition unit 371 displays an image closer to the utterance content from the user on the screen based on the acquired topic title. Can be made.
[0234]
Further, the ratio calculation unit 361 calculates the ratio of the first morpheme information to the topic title for each topic title, and the selection unit 362 calculates the size of each ratio calculated for each topic title. Accordingly, since one topic title can be selected from each topic title, for example, a topic title having a large ratio of the first morpheme information to the topic title is acquired from a plurality of topic title groups. If possible, the selection unit 362 can more accurately acquire the topic title that follows the semantic space composed of the first morpheme information, and as a result, the image acquisition unit 371 determines the acquired topic title. Based on this, an image closer to the utterance content from the user can be displayed on the screen.
[0235]
【The invention's effect】
As described above, according to the present invention, based on the utterance content from the user, the image related to the utterance content is displayed on the screen, so that the user can use the impression as if he / she is communicating. Can be given to a person.
[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 conversation control system according to a second embodiment.
FIG. 25 is a diagram showing a detailed relationship of a hierarchical structure of discourse range groups constructed inside a conversation database in the second embodiment.
FIG. 26 is a diagram showing the contents of a moving image associated with a discourse range in the second embodiment.
FIG. 27 is a diagram showing a detailed relationship of a hierarchical structure of topic title groups built inside a conversation database in the second embodiment.
FIG. 28 is a diagram showing the contents of each moving image associated with each topic title in the second embodiment.
FIG. 29 is a flowchart showing a procedure of a conversation control method according to the second embodiment.
.
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 1 ... Conversation control apparatus, 100 ... Input part, 200 ... Speech recognition part, 300 ... Conversation control part, 310 ... Management part, 320 ... Reflective determination part, 330 ... Reversal determination part, 340 ... Discourse range determination part, 350 ... Abbreviated sentence complementing part, 360 ... topic searching part, 361 ... ratio calculating part, 362 ... selecting part, 363 ... deleting part, 364 ... discourse adding part, 370 ... answer sentence searching part, 371 ... image acquiring part, 400 ... sentence analysis 410, morpheme extraction unit, 420 ... phrase analysis unit, 430 ... sentence structure analysis unit, 440 ... utterance type determination unit, 450 ... morpheme database, 460 ... utterance type database, 500 ... conversation database, 600 ... output unit, 700 ... voice recognition dictionary storage unit, 800 ... communication unit, 801 ... reflection element database, 802 ... reversal element database, 900 ... communication unit, 1000 ... communication network Over click, 1100 ... hard disk, 1200 ... flexible disk, 1300 ... compact disc, 1400 ... IC chip, 1500 ... cassette tape,

Claims (12)

  1. In the conversation control system, the discourse range indicating the morpheme related to the input information such as voice or the answer content to the user that will be input from the user, the meaning content of the morpheme constituting the discourse range A discourse storage means for storing a plurality of the discourse ranges in advance,
    Character recognition means for identifying a character string indicating the input information based on input information such as voice input from a user;
    Based on the character string specified by the character recognition means, morpheme extraction means for extracting each morpheme constituting the minimum unit of the character string as first morpheme information;
    The first morpheme information extracted by the morpheme extraction unit is compared with each discourse range, and the discourse range that matches the morpheme included in the first morpheme information is searched from the discourse ranges. Discourse search means,
    Image acquisition means for acquiring the first image associated with the discourse range based on the discourse range searched by the discourse search means;
    Display means for displaying the first image acquired by the image acquisition means ,
    Furthermore, the conversation control system includes:
    In the discourse range indicating the morpheme related to the input information that will be input from the user or the response content to the user, the morpheme consisting of one character, a plurality of character strings, or a combination thereof is used. A plurality of second morpheme information shown, each second morpheme information is associated with a second image related to the semantic content of the second morpheme information,
    The second morpheme information associated with the discourse range searched by the discourse search means is collated with the first morpheme information extracted by the morpheme extraction means, A search means for searching for the second morpheme information including the first morpheme information;
    The image acquisition means acquires the second image associated with the second morpheme information based on the second morpheme information searched by the search means,
    The display means displays the second image acquired by the image acquisition means ,
    The search means includes
    The first morpheme information extracted by the morpheme extraction means is compared with each second morpheme information, and the ratio of the first morpheme information to the second morpheme information for each second morpheme information A calculation means for calculating
    A selection for selecting one second morpheme information having a large ratio from the second morpheme information according to the size of each ratio calculated for each second morpheme information by the calculation means. Means,
    The conversation control system, wherein the display unit acquires the second image associated with the second morpheme information based on the second morpheme information selected by the selection unit.
  2. The conversation control system has a conversation database and a conversation control unit,
    In the conversation database, a plurality of the second morpheme information and a reply sentence of the reply contents with respect to the utterance contents of the user are stored in association with each other in advance.
    The conversation control unit specifies an answer sentence associated with the second morpheme information searched by the search means from the conversation database, and outputs the answer sentence to a user;
    The conversation control system according to claim 1.
  3. The conversation control system includes a reflection element database that stores in advance reflection element information that is a typical answer content to the utterance content from the user,
    The conversation control unit collates the reflection element information with the first morpheme information, searches for the reflection element information including the first form information, and if found, an answer sentence of the reflection element information Having a reflective judgment unit that outputs
    The conversation control system according to claim 2.
  4. The conversation control system returns the content agreed to the user's utterance content. A reversing element database for preliminarily storing the elements,
    The conversation control unit collates the first morpheme information with each morpheme constituting the turn-up element for each turn-up element when the reflexive determination unit cannot search for the reflection element. Whether or not the first morpheme information is included in
    When it is determined that the first morpheme information is included in the return element, the return element includes a return determination unit that outputs an answer sentence including the return element of the agreement content;
    The conversation control system according to claim 3.
  5. In the conversation control method, in the conversation range indicating the morpheme related to the input information such as speech or the answer content to the user that will be input from the user, the semantic content of the morpheme constituting the conversation range A first image related to, and storing a plurality of the discourse ranges in advance,
    A step of identifying a character string indicating the input information based on input information such as voice input from a user;
    Extracting each morpheme constituting the minimum unit of the character string as first morpheme information based on the identified character string;
    Collating the extracted first morpheme information with each discourse range, and searching the discourse range that matches the morpheme included in the first morpheme information from each discourse range;
    Obtaining the first image associated with the discourse range based on the searched discourse range;
    Displaying the acquired first image ,
    Further, the conversation control method includes:
    In the discourse range indicating the morpheme related to the input information that will be input from the user or the response content to the user, the morpheme consisting of one character, a plurality of character strings, or a combination thereof is used. A plurality of second morpheme information shown, each second morpheme information is associated with a second image related to the semantic content of the second morpheme information,
    The second morpheme information associated with the searched discourse range is collated with the first morpheme information extracted by the morpheme extraction means, and the first morpheme information is extracted from the second morpheme information. Retrieving the second morpheme information including morpheme information;
    Obtaining the second image associated with the second morpheme information based on the retrieved second morpheme information;
    Displaying the acquired second image , and
    Collating the extracted first morpheme information with each second morpheme information, and calculating a ratio of the first morpheme information to the second morpheme information for each second morpheme information; ,
    Selecting one second morpheme information having a large ratio from the second morpheme information according to the size of each ratio calculated for each second morpheme information;
    Acquiring the second image associated with the second morpheme information based on the selected second morpheme information.
  6. The conversation control method includes a conversation control step,
    In the conversation database, a plurality of the second morpheme information and an answer sentence of the answer contents with respect to the utterance contents of the user are stored in association with each other in advance,
    The conversation control step specifies an answer sentence associated with the second morpheme information searched by the search means from the conversation database, and outputs the answer sentence to a user;
    The conversation control method according to claim 5.
  7. In the conversation control method, the reflection element information that is a typical answer content for the utterance content from the user is stored in the reflection element database in advance,
    In the conversation control step, the reflection element information and the first morpheme information are collated, and the reflection element information including the first form information is searched. Having a reflective decision step to output
    The conversation control method according to claim 6.
  8. In the conversation control method, the content of the content that agrees with the user's utterance content is stored in advance in the content element database,
    In the conversation control step, when the reflexive determination step cannot retrieve the reflexive element, the first morpheme information is compared with each morpheme constituting the reversal element for each reversal element, Whether or not the first morpheme information is included in
    When it is determined that the first morpheme information is included in the return element, it has a return determination step of outputting an answer sentence including the return element of the agreement content;
    The conversation control method according to claim 7.
  9. Computer program ,
    The discourse range indicating the morpheme related to the input information such as voice or the like that will be input from the user or the response content to the user is the first related to the semantic content of the morpheme constituting the discourse range. A plurality of the conversation ranges are stored in advance,
    A step of identifying a character string indicating the input information based on input information such as voice input from a user;
    Extracting each morpheme constituting the minimum unit of the character string as first morpheme information based on the identified character string;
    Collating the extracted first morpheme information with each discourse range, and searching the discourse range that matches the morpheme included in the first morpheme information from each discourse range;
    Obtaining the first image associated with the discourse range based on the searched discourse range;
    Displaying the acquired first image, and performing a process including:
    Further, the computer program is
    In the discourse range indicating the morpheme related to the input information that will be input from the user or the response content to the user, the morpheme consisting of one character, a plurality of character strings, or a combination thereof is used. A plurality of second morpheme information shown, each second morpheme information is associated with a second image related to the semantic content of the second morpheme information,
    The second morpheme information associated with the searched discourse range is collated with the first morpheme information extracted by the morpheme extraction means, and the first morpheme information is extracted from the second morpheme information. Retrieving the second morpheme information including morpheme information;
    Obtaining the second image associated with the second morpheme information based on the retrieved second morpheme information;
    Causing the computer to execute a process including a step of displaying the acquired second image ;
    Collating the extracted first morpheme information with each second morpheme information, and calculating a ratio of the first morpheme information to the second morpheme information for each second morpheme information; ,
    Selecting one second morpheme information having a large ratio from the second morpheme information according to the size of each ratio calculated for each second morpheme information;
    A computer program for executing a process including a step of acquiring the second image associated with the second morpheme information based on the selected second morpheme information.
  10. In the computer,
    The second morpheme information and the answer sentence of the answer contents with respect to the utterance contents of the user are associated with the second morpheme information searched by the search means from a conversation database in which a plurality of them are stored in association with each other in advance. The computer program according to claim 9, wherein the computer program causes the user to execute a process including specifying an answer sentence and outputting the answer sentence to a user.
  11. In the computer,
    Reflective element information, which is a typical answer content for the utterance content from the user, refers to the reflective element database in advance, collates the reflective element information with the first morpheme information, and includes the first form information Reflection element information is searched. The computer program according to claim 10, for executing a process including a step of outputting.
  12. In the computer,
    If the return element of the content that agrees with the user's utterance content refers to the return element database in advance and the reflexive determination step cannot retrieve the reflexive element, it returns the first morpheme information for each return element. Collate with each morpheme constituting the element, determine whether the first morpheme information is included in the return element,
    12. The processing for executing a process including a return determination step of outputting an answer sentence including a return element of agreement content when it is determined that the first morpheme information is included in the return element. Computer program.
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