JP2004126790A - Notification system of usage amount, notification control method and program for usage amount - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To notify a relevant user of the usage amount of supplies, related to input information, on the basis of the input information of voice or the like inputted by the user. <P>SOLUTION: A system is provided with a morpheme extraction part 410 which extracts at least one morpheme constituting a minimum unit of character strings as a first morpheme information, on the basis of the character strings corresponding to the input information inputted by the user; a topic retrieval part 360, which collates the first morpheme information extracted with the morpheme extraction part 410 with each topic title, and retrieves a topic title containing the morpheme constituting the first morpheme information from among respective topic titles; and a response text producing part 371, which notifies the user of the amount used measured by a measuring part 5, if at least one keyword is contained in the topic title on the basis of the topic title retrieved with the topic retrieval part 360. <P>COPYRIGHT: (C)2004,JPO

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention is provided with a measuring unit for measuring the amount of use of a supply including electric power, gas or water, and a usage notification for notifying the usage measured by the measuring unit based on input information input from a user. The present invention relates to a system, a usage notification control method, and a program.
[0002]
[Prior art]
BACKGROUND ART Conventionally, there is an automatic meter reading system that automatically measures the amount of electric power supplied to a house (for example, Patent Document 1). This automatic meter reading system automatically measures the amount of gas used, the amount of electric power, and the like used in each house. For this reason, a supplier that supplies these supplies can measure the amount of use of the supplies without having to go around the meter reader, so that labor costs and the like can be reduced.
[0003]
[Patent Document 1]
JP-A-9-172503 (Section 3-5, FIG. 1)
[0004]
[Problems to be solved by the invention]
However, in the above automatic meter reading system, the trader can easily grasp the consumption of the supply in each house, but the resident living in the house can easily use the supply of the supply from outside. I couldn't know. For example, for a family having a grandmother or the like who lives alone, if the amount of supplies used in the house of the grandmother or the like can be known, the living situation of the grandmother or the like can be easily grasped.
[0005]
On the other hand, the family can check the amount of supplies used in the house such as the grandmother with the contractor, but must call the contractor, etc. every time, and it takes a considerable amount of time before the desired amount is heard. Was required. For this reason, there has been a demand for the development of a system that allows a specific person to easily know the amount of supplies in a specific house without going through a trader.
[0006]
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, notifies the corresponding user of the amount of use of supplies related to the input information. An object of the present invention is to provide a usage notification system, a usage notification control method, and a program that can perform the usage notification.
[0007]
[Means for Solving the Problems]
The invention according to the present application has been made in order to solve the above-described problems, and includes a measuring unit that measures the amount of use of a supply including power, gas or water, and is based on input information input by a user. When notifying the usage amount measured by the measurement unit, a plurality of second morpheme information indicating a morpheme composed of one character, a plurality of character strings, or a combination thereof is stored in advance, and a plurality of keywords related to the usage amount are stored in advance. Storing, based on the character string corresponding to the input information, extracting at least one morpheme constituting the minimum unit of the character string as first morpheme information, extracting the extracted first morpheme information and each second morpheme information The second morpheme information is compared and second morpheme information including morphemes constituting the first morpheme information is searched from each of the second morpheme information. Based on the searched second morpheme information, at least one keyword is in the second morpheme information. If it included in the element information, and notifies the usage is metered with a metering unit to a user.
[0008]
According to the invention of the present application, the conversation control device includes, based on the second morpheme information that matches the first morpheme information constituting the input information of the user, If at least one keyword related to is included, the user can be notified of the usage amount measured by the measuring unit. Thereby, the user can know information related to a desired amount of consumption, for example, the amount of electricity and the amount of gas used through conversation.
[0009]
That is, when a specific keyword is included in the input information of the user, the conversation control device does not simply notify the information on the usage amount associated with the keyword. The conversation control device can notify information on the usage amount associated with the specific keyword in the “second morpheme information” depending on whether or not the specific keyword is included.
[0010]
In particular, since the second morpheme information is obtained by extracting each morpheme included in the input information from the user, the second morpheme information includes only important elements constituting the input information. Based on the two-morpheme information, it is possible to accurately notify information about the usage amount desired by the user.
[0011]
For example, if the input information is "I want to know the amount of electricity used", the second morphological information corresponding to the input information is (I; amount of used electricity; want to know). For this reason, since the conversation control device includes the keywords “electric consumption” and “want to know” in the second morpheme information, the “electric consumption” associated with those keywords is used. Information can be output. This information includes, for example, that the current amount of electricity used is XX kWh.
[0012]
Further, "-tai" included in the second morpheme information means that the user requests his / her desire for a certain matter. For this reason, when the conversation control device includes “electricity usage” and “to”, the conversation control device simulates that “the user wants to know the electricity usage”. Reasoning can be done. Thereby, the conversation control device can accurately notify information about the usage amount requested by the user.
[0013]
Further, a family having a grandmother and the like living alone can easily grasp the living conditions of the grandmother and the like through the information on the usage amount. For example, a family can determine that a grandmother's health is problematic when the grandmother's home uses very little electricity. On the other hand, if the amount of electricity used in the grandmother's house is higher than normal, the family can determine that the grandmother's health is satisfactory.
In the above invention, the second morpheme information is associated in advance with a plurality of codes serving as search references, and each code is associated in advance with a content related to the amount of use, and the second morpheme searched for. Based on the information, each code associated with the second morphological information, the usage amount measured by the weighing unit is compared, a code that matches the usage amount is searched, and based on the searched code, It is preferable to notify the user of the content associated with the code.
[0014]
In this case, if the content associated with each code indicates an outline of the usage status of each device (for example, electricity is "used" a lot now, etc.), the conversation is started. The control device can notify the user of the above-described content associated with the code that matches the size based on the amount of the usage amount measured by the measurement unit. Accordingly, the user can hear the outline of the specific usage from the conversation control device, and thus can immediately grasp the usage status in the specific building.
[0015]
In the above invention, each second morpheme information is previously associated with the input information that will be input from the user or the discourse range indicating the morpheme relevant to the answer to the user, and is extracted. The first morpheme information is compared with each discourse range, a discourse range that matches the morpheme included in the first morpheme information is searched from each discourse range, and the discourse range is associated with the discourse range based on the searched discourse range. It is preferable that the obtained second morpheme information be compared with the extracted first morpheme information, and the second morpheme information that matches the first morpheme information be searched from each of the second morpheme information.
[0016]
In this case, the conversation control device first specifies the discourse range, and from the respective second morpheme information associated with the specified discourse range, the second morpheme including the morpheme constituting the extracted first morpheme information. Information can be searched. This eliminates the need for the conversation control device to collate “all” each of the second morpheme information stored in advance with the extracted first morpheme information, so that the corresponding second morpheme information can be searched more quickly. Can be. As a result, the user can quickly obtain information about the desired usage amount.
[0017]
In the above invention, the extracted first morpheme information is collated 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. It is preferable to select one piece of second morpheme information from each piece of second morpheme information in accordance with the magnitude of each ratio calculated for each piece of second morpheme information.
[0018]
In this case, the conversation control device, for example, the second morpheme information having a large proportion of the first morpheme information constituting the user input information in the second morpheme information, from the plurality of second morpheme information group If it can be obtained, the second morphological information following the semantic space composed of the first morphological information can be obtained more accurately. As a result, the conversation control device can accurately notify the usage amount requested by the user based on the acquired second morpheme information.
[0019]
BEST MODE FOR CARRYING OUT 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 device 1 according to the present embodiment.
[0020]
As shown in FIG. 1, 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. And a unit 700.
[0021]
In the present embodiment, for convenience of explanation, the description will be limited to the utterance content of the user (this utterance content is a type of input information). However, the present invention is not limited to the utterance content of the user, and is not limited to the utterance content of the user. For example, the input information may be input from a user or the like. Therefore, the "speech content" described below can also be described by replacing "speech content" with "input information".
[0022]
Similarly, in the following description, for convenience of explanation, the description will be limited to “speech sentence type” (speech type). The “input type” indicating the type of input information that has been input may be used. Therefore, the "utterance sentence type" (utterance type) described below can also be described by replacing "utterance type" with "input type".
[0023]
The input unit 100 is an obtaining unit that obtains input information from a user. In the present embodiment, the input unit 100 includes a microphone, a keyboard, and the like. The input unit 100 is also a character recognition unit that specifies a character string indicating input information based on input information input by a user.
[0024]
Here, the input information means characters, symbols, voices and the like input through a keyboard or the like. Specifically, the input unit 100 acquires input information (other than voice) of the user and outputs the acquired input information to the conversation control unit 300. Also, the input unit 100 that has acquired the utterance content from the user (this utterance content is composed of voice and is a type of input information) with a microphone or the like, the input unit 100 converts the voice constituting the acquired utterance content into an audio signal. Is output to the voice recognition unit 200.
[0025]
The voice recognition unit 200 is a character recognition unit that specifies 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 the speech signal is input from the input unit 100 analyzes the input speech signal, and stores a character string corresponding to the analyzed speech signal 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 voice recognition dictionary storage unit 700 stores a dictionary corresponding to a standard voice signal.
[0026]
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 , A sentence structure analysis unit 430, an utterance type determination unit 440, a morpheme database 450, and an utterance type database 460.
[0027]
The morpheme extraction unit 410 is a morpheme extraction unit that extracts each morpheme constituting the minimum unit of the character string as first morpheme information based on the character string specified by the input unit 100 or the speech recognition unit 200.
[0028]
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 the present embodiment, a morpheme means a minimum unit of a word configuration represented in a character string. As shown in FIG. 3, examples of the minimum unit of the word configuration include a part of speech such as a noun, an adjective, and a verb. In the present embodiment, each morpheme is represented as m1, m2,..., Ml.
[0029]
That is, the morpheme extraction unit 410 collates a character string corresponding to the input character string signal with a morpheme group such as a noun, adjective, or verb stored in the morpheme database 450 in advance, 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.
[0030]
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 respective morphemes corresponding to the input extraction signal to combine them into a phrase format.
[0031]
In the present embodiment, the phrase form refers to a sentence having an independent word or an independent word with one or more attached words in the Japanese grammar, or a character string that does not break the meaning of the Japanese grammar. It means a sentence that is as small as possible. This clause is expressed as p1, p2,... Pk in the present embodiment.
[0032]
That is, as shown in FIG. 4, the phrase analyzing unit 420 converts the dependency element of each morpheme (for example, (m2) · (m4) · (m5) based on each morpheme corresponding to the input extracted signal. ) ..) are extracted, and each morpheme is grouped into each phrase based on the extracted dependency elements. "T" shown in the figure means transposition.
[0033]
The phrase analysis unit 420 that compiles each morpheme into each phrase, the sentence structure analysis unit 430 and the utterance type determination unit 440, using the morphological information including each morpheme that summarizes each morpheme and each morpheme that composes each phras as a morphological signal. Output to
[0034]
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 matter and object case. Specifically, the sentence structure analysis unit 430 to which the sentence pattern signal is input from the sentence pattern analysis unit 420, based on each morpheme corresponding to the input sentence pattern signal and the sentence formed by each morpheme, Determine the "case composition".
[0035]
Here, the “case composition” means a case (attribute) indicating a substantial concept in a phrase, and in the present embodiment, for example, a subject (subject case) meaning a subject / subject and an object Examples include a meaningful object (target case), an action meaning an action, a time meaning a time (tense, aspect), a location meaning a place, and the like. In the present embodiment, each morpheme associated with three elements “case” (case configuration) of a subject, an object, and an action is defined as first morpheme information.
[0036]
That is, as shown in FIG. 5, for example, when the dependency element of each morpheme is "" or "ha", the sentence structure analysis unit 430 determines that the morpheme before the dependency element is the subject (subject) Or nominative). Also, the sentence structure analysis unit 430
For example, when the dependency element of each morpheme is "" or "", it is determined that the morpheme in front of the dependency element is an object (object).
[0037]
Further, for example, when the dependency element of each morpheme is “do”, the sentence structure analysis unit 430 determines that the morpheme preceding the dependency element is an action (predicate; this predicate is composed of a verb, an adjective, etc.). Is determined.
[0038]
The sentence structure analysis unit 430 that has determined the “case configuration” of each morpheme constituting each phrase, based on the first morpheme information associated with the determined “case configuration”, determines the range of a topic described below. A topic search command signal for specifying is output to the reflective determination unit 320.
[0039]
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, the “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 the clause composed of each morpheme.
[0040]
In this embodiment, as shown in FIG. 6, the “utterance sentence type” is a statement (D; Declaration), a comment sentence (I; Impression), a conditional sentence (C; Condition), and a result sentence (D: Declaration). E; Effect), time sentence (T; Time), place sentence (L; Location), repulsion sentence (N; Negation), and the like.
[0041]
The statement is a sentence composed of a user's opinion or idea, and in the present embodiment, as shown in FIG. 6, a sentence such as "I like Sato" is exemplified. The impression sentence means a sentence composed of impressions held by the user. The location sentence means a sentence composed of locational elements.
[0042]
The result sentence means a sentence composed of a sentence including a result element for a topic. The time sentence means a sentence including a temporal element related to a topic.
[0043]
The conditional sentence means a sentence including elements such as a premise of the topic and a condition or a reason why the topic is established when one utterance is regarded as a topic. The repulsive sentence means a sentence including an element that repels the utterer. An example sentence for each “utterance sentence type” is as shown in FIG.
[0044]
That is, based on each phrase corresponding to the input sentence pattern signal, the utterance type determination unit 440 collates each phrase with each dictionary stored in the utterance type database 460, and from among each phrase, Extract sentence elements related to the dictionary. The utterance type determination unit 440 that extracts a sentence element related to each dictionary from each phrase determines a “speech sentence type” based on the extracted sentence element. The sentence element means a minute type for specifying the type of the character string, and in the present embodiment, the sentence element includes the above-described definition phrase (to).
[0045]
Here, the utterance type database 460 includes, as shown in FIG. 7, a definition expression example dictionary including a dictionary related to a definition phrase (for example, 〜), and a positive phrase (for example, agree, agree, 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 case dictionary having a dictionary related to a negative phrase (for example, it is not stupid, opposite), and each dictionary is associated with a “speech sentence type”.
[0046]
Accordingly, the utterance type determination unit 440 compares the phrase with each dictionary stored in the utterance type database 460, extracts a sentence element related to each dictionary from the phrase, and associates the extracted sentence element with the extracted sentence element. The “utterance sentence type” can be determined by referring to the type of determination.
[0047]
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.
[0048]
The conversation database 500 stores a plurality of pieces of second morpheme information indicating each morpheme composed of one character, a plurality of character strings, or a combination thereof. The conversation database 500 also stores a plurality of pieces of second morpheme information and the contents of answers to the user with respect to the utterance contents in association with each other in advance. Further, the conversation database 500 stores a plurality of answer types indicating the types of the respective answer contents associated with the plurality of answer contents in advance in association with the second morpheme information.
[0049]
Furthermore, the conversation database 500 stores in advance a plurality of discourse ranges (keywords) indicating morphemes constituting a range relevant to the input contents to be input from the user or the contents of answers to the user. . This discourse range (keyword) is associated with a plurality of pieces of second morpheme information indicating a morpheme composed of one character, a plurality of character strings, or a combination thereof, and each piece of the second morpheme information contains an answer to the user. Associated with each.
[0050]
Furthermore, the conversation database 500 is also an answer storage unit (discussion storage unit) that classifies and stores each element constituting the second morphological information into attributes such as a subject composed of a nominative case and a target case composed of a purpose case. .
[0051]
As shown in FIG. 8, in the present embodiment, the conversation database 500 can be roughly divided into a discourse meaning a range that is relevant to the utterance content that will be uttered by the user or the answer content to the user. It is composed of a range (discourse) and a topic (topic) indicating a range most closely related to the content spoken by the user. As shown in the drawing, the “discussion range” is positioned as a higher concept of “topic” in the present embodiment.
[0052]
Each discourse range can be configured to have a hierarchical structure, as shown in FIG. As shown in the figure, for example, the discourse range (entertainment) of a higher concept with respect to a certain discourse range (movie) is arranged in an upper hierarchical structure, and the discourse range of a lower concept with respect to the discourse range (movie) (movie) Attribute, showing movie) can be located in a lower hierarchical structure. That is, in the present embodiment, each discourse range can be arranged at a hierarchical position where the relationship between the superordinate concept, the subordinate concept, the synonym, and the synonym with the other discourse ranges is clear.
[0053]
As described above, the discourse range is composed of each topic. In the present embodiment, for example, if the discourse range is the A movie name, the discourse range includes a plurality of topics related to the A movie name.
[0054]
This topic means a morpheme composed of one character, a plurality of character strings, or a combination thereof, that is, each morpheme constituting the utterance content that will be uttered by the user. In the present embodiment, It is composed of each morpheme associated with the subject (subject), the object (target case), and the "case" (attribute) of the action. In the present embodiment, each morpheme associated with these three elements is expressed as a topic title (this topic title corresponds to a lower concept of “topic”) (second morpheme information). .
[0055]
The topic title is not limited to each morpheme associated with the above three elements, but may include other "cases", that is, time (tense, aspect) meaning time, location meaning location, Each morpheme may be associated with a condition indicating a condition, an impression indicating an impression, an effect indicating a result, or the like.
[0056]
In this embodiment, the topic title (second morpheme information) is stored in the conversation database 500 in advance, and the first morpheme information (derived from the utterance content uttered by the user) They are distinct.
[0057]
For example, if the topic title has a discourse range of “A movie name”, as shown in FIG. 10, subject (A movie name), object (director), action (great) ｛this is “A movie The name director is made up of｝, which means “great.”
[0058]
If there is no morpheme associated with “case composition” (subject, object, action, etc.) in the topic title, this portion is indicated with “*” in the present embodiment.
[0059]
For example, what is the $ A movie name? When the sentence of｝ is converted into a topic title (subject; object; action), what is the name of ｛A movie? In the sentence of｝, “A movie name” can be specified as the subject, but the other “object” “action” is not an element of the sentence, so the topic title is “subject” (A movie name) No "object"(*); no "action" (*) (see FIG. 10).
[0060]
The answer sentence means an answer sentence (answer content) that answers the user, and is associated with each topic title (second morpheme information) in the present embodiment (see FIG. 8). In this embodiment, as shown in FIG. 11, the answer sentence includes a statement (D; Declaration) and an impression sentence in order to make an answer corresponding to the type of the utterance sentence uttered by the user. (I; Impression), conditional sentence (C; Condition), result sentence (E; Effect), time sentence (T; Time), location sentence (L; Location), negative sentence (N; Negation), etc. (answer) Types).
[0061]
That is, as shown in FIG. 12, each answer sentence is associated with, for example, the discourse range (Sato) {lower concept; home run, higher concept; grass baseball, synonyms; panda Sato / Sato / Panda} and each topic title Have been.
[0062]
As shown in the figure, for example, the topic title 1-1 is $ (Sato; *; I like): This is the order of (subject; object; action) as described above. If the order is the same as in the following, the answer sentence 1-1 corresponding to the topic title 1-1 is (DA; statement positive sentence "I like Sato"), (IA; impression positive sentence) "I like Sato very much"), (CA; positive statement on condition "Because Sato's home run is very impressive"), (EA; positive statement on result "I always watch TV games where Sato appears"), (TA; Time affirmative sentence "I really like it because of the five consecutive hits in Koshien"), (LA; Place affirmative sentence "I like the serious face when standing on a blow"), (NA Affirmative sentence "I don't want to talk to someone who dislikes Sato, goodbye").
[0063]
In the present embodiment, as shown in FIG. 2, the conversation control unit 300 includes a management unit 310, a reflective determination unit 320, a parrot return determination unit 330, a discourse range determination unit 340, and an abbreviation sentence complementing unit 350. , A topic search unit 360 and an answer sentence search unit 370.
[0064]
The management section 310 controls the entire conversation control section 300. Specifically, the management unit 310 to which the character string has been input from the input unit 100 or the speech recognition unit 200 outputs the input character string to the morpheme extraction unit 410 as a character string signal. Further, management section 310 outputs the answer sentence searched by answer sentence search section 370 to output section 600.
[0065]
The reflexive determination unit 320 is a fixed form acquisition unit that compares the first morpheme information extracted by the morpheme extraction unit 410 with each fixed content, and searches for fixed content including the first morpheme information from each fixed content. .
[0066]
Here, the standard content means reflective element information for answering the standard content to the utterance content from the user, and this reflective element information is stored in the reflective element database 801 (standard type storage means) in advance. A plurality is 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?" And "typical elements".
[0067]
Specifically, the reflexive determination unit 320 to which the topic search command signal has been input from the sentence structure analysis unit 430 receives the first morphological information included in the input topic search command signal and each of the information stored in the reflection element database 801. By comparing the reflection element information with the reflection element information, the reflection element information including the first morphological information is searched from each reflection element information, and the searched reflection element information is output to the management unit 310.
[0068]
That is, assuming that the reflection element information is D1 and the first morpheme information is W, the reflection determining unit 320 determines that the relation of W∩D1 ≠ φ (φ; empty set) is satisfied, Perform a process for giving a typical answer.
[0069]
For example, when the user utters the utterance content of “good morning”, the reflexive determination unit 320 compares the utterance content “good morning” with each piece of reflection element information, and from each piece of reflection element information, The reflection element information “good morning” including (matching with) “good morning” is retrieved, and the retrieved reflection element information “good morning” is output to the management unit 310.
[0070]
When it is not possible to search for the reflection element information including the utterance content from each of the reflection element information, the reflexive determination section 320 converts the topic search command signal input from the sentence structure analysis section 430 into a parallax return determination section 330. Output to
[0071]
The parrot return determination unit 330 compares the current first morpheme information extracted by the morpheme extraction unit 410 with past response contents stored in the parrot return element database 802, and determines that the current first morpheme information is a past response. If it is included in the contents, it is a standard acquisition means for acquiring the contents of the agreement.
[0072]
Here, in this embodiment, the parrot return means that the content of the utterance of the user is repeated as it is (or a content close thereto). In this embodiment, the parrot return element is composed of first morpheme information and the like constituting the answer content output from the conversation control device 1 immediately before. As shown in FIG. 14, for example, “horse is beautiful” (Horse; *; beautiful) and "I like Sato"(Sato;*; I like it).
[0073]
In addition, the parrot return element database 802 is an agreement storage unit that previously stores agreement details for agreeing to input information input by a user. The contents of the agreement include, for example, the input information previously input by the user (if the previous input information is “Is the director of the A movie name Mr. S?” The director of A movie name is Mr. S)), or "Exactly", "True".
[0074]
Specifically, the parrot return determining unit 330 to which the topic search command signal is input from the reflexive determination unit 320 configures the first morphological information and the parrot return element included in the input topic search command signal for each parrot return element. By comparing each morpheme, it is determined whether or not the first morpheme information is included in the parrot return element (see FIG. 14).
[0075]
When the parrot return determination unit 330 determines that the first morpheme information is included in each parrot return element, it obtains the consensus content and outputs an answer sentence including the obtained consensus content to the management unit 310 (parrot return). Process). That is, assuming that the parrot return element (such as the previous answer sentence) is S and the first morpheme information is W, the parrot return determination unit 330 indicates above when the relationship of W⊂S and W ≠ φ is established. Perform parrot return processing.
[0076]
For example, the conversation control device 1 gives the answer sentence "The director of the A movie name is Mr. S" (the director of the A movie name; Mr. S; *) (the order is subject, object, action, and so on). ) Is output, and then, when the user utters “A is the director of the A movie name Mr. S” (Director of the A movie name; Mr. S; *) in response to the output content, the parrot returns The determination unit 330 determines that the first morpheme information of the user (Director of the A movie name; Mr. S; *) matches each morpheme of the answer sentence (Director of the A movie name; Mr. S; *). The user concludes that the answer is being parroted, obtains the memorized agreement contents such as "exactly," and outputs the acquired agreement contents.
[0077]
The parrot return determining unit 330 compares the current first morphological information extracted by the morphological extracting unit 410 with the past first morphological information stored in the parrot return element database 802, and outputs the current first morphological information. Is included in the past first morpheme information, it is also a fixed form acquisition means for acquiring the content of repulsion.
[0078]
Specifically, when the user utters the utterance content that “the horse is beautiful” and the conversation control device 1 outputs the content of “the horse has a sense of dynamism” as the answer content, it is used later. When the person repeats the utterance content “horse is beautiful”, the parrot return determining unit 330 determines that each morpheme (first morpheme information) constituting the current utterance content “horse is beautiful” {horse; Since each morpheme (first morpheme information) {horse; *; beautiful} that constitutes the previous utterance content “horse is beautiful” matches, the user responds from the conversation control device 1 “horse is dynamic. "I have a good feeling."
[0079]
In this case, since the user has not heard the answer content from the conversation control device 1, the parrot return determination unit 330 acquires the stored rebound content (for example, do not repeat the same content) and obtains the acquired repulsion. The contents can be output.
[0080]
On the other hand, when the parrot return determining unit 330 determines that the first morpheme information is the same as the content of the previous answer sentence or that the first morphological information is not the same as the previous first morphological information, the reflexive determining unit 320 The input topic search command signal is output to the discourse range determination unit 340.
[0081]
Although the parrot return determination unit 330 has described the process in the case where the user has performed the parrot return on “the answer content of the conversation control device 1”, the following process can be further performed. For example, when the output unit 600 outputs an answer sentence “Horse is beautiful”, the user responds to this answer with “Why is the horse beautiful?”, “Why is it beautiful?”, Or “Why is it?” This is the process of the parrot return determination unit 330 performed when the user utters.
[0082]
In this case, the parrot return determination unit 330 outputs the answer 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 represents the utterance type of W, and this utterance type is determined by the utterance type determination unit 440 described below. The utterance type includes, for example, a question sentence, as will be described later.) Therefore, a “conditional” parrot return process (when the user Processing when a parrot with a letter is performed) is performed.
[0083]
As the “conditional” parrot return processing, for example, when the conversation control device 1 outputs an answer sentence “Horse is beautiful”, the user utters the utterance content “Why is the horse beautiful?” At this time, in order to solve the user's questions and the like, the parrot return determining unit 330 obtains an answer sentence such as “The horse is not beautiful” from the parrot return element database 802, and the obtained answer sentence is stored in the management unit 310. Perform output processing.
[0084]
The discourse range determination unit 340 compares the first morpheme extracted by the phrase analysis unit 420 with each discourse range, and searches each discourse range for a discourse range that matches the morpheme included in the first morpheme information. This is a second search means.
[0085]
Specifically, the discourse range determination unit 340 to which the topic search command signal is input from the parrot return determination unit 330 determines the user's discourse range based on the input discourse search command signal. That is, the discourse range determination unit 340 searches the conversation database 500 for a range relevant to the content spoken by the user (discussion range) based on the input search command signal.
[0086]
For example, the discourse range determining unit 340 determines that the first morpheme information included in the input topic search command signal is (interesting movie; *; is there) / is there an interesting movie? In the case of｝, the first morpheme information is collated with the discourse range group, and when 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.
[0087]
On the other hand, if the discourse range group is not 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 abbreviation sentence complementing unit 350.
[0088]
Thereby, the topic search unit 360, which will be described later, checks each “topic title” belonging to the “discussion range” determined by the discourse range determination unit 340 against the first morpheme information specified by the sentence structure analysis unit 430. Therefore, it is not necessary to collate “all” “topic titles” (second morpheme information) with the first morpheme information, and the answer sentence search unit 370 described later performs until the final answer sentence is searched. Time can be shortened.
[0089]
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 parrot return element searched immediately before by the parrot return determination unit 330 or the morpheme constituting the utterance content uttered by the user may be determined as the discourse range. . Using the discourse range determined by the discourse range determination unit 340, the abbreviated sentence complementing unit 350 described below can add the discourse range to the first morpheme information in which the morpheme is omitted.
[0090]
The abbreviated sentence complementing unit 350 searches for an attribute that does not include a morpheme from 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. Attribute search means. The abbreviation sentence complementing unit 350 is also a morpheme adding unit that adds a morpheme constituting the discourse range searched by the discourse range determination unit 340 to the attribute based on the searched attribute.
[0091]
Specifically, the abbreviation sentence complementing unit 350 to which the topic search command signal has been input from the discourse range determination unit 340, based on the first morpheme information included in the input discourse search command signal, generates an utterance composed of the first morpheme information. It is determined whether the content is an abbreviated sentence, and if the utterance content composed of the first morpheme information is an abbreviated sentence, the morpheme of the discourse range to which the first morpheme information belongs is added to the first morpheme information.
[0092]
For example, the abbreviation sentence complementing unit 350 determines that the morpheme constituting the first morpheme information included in the input topic search command signal is (supervisor; *; *) (supervisor?) Is unknown, meaning an abbreviated sentence.), The discourse range determined by the discourse range determination unit 340 (A movie name; the A movie name indicates the title of the movie) If the first morpheme information belongs to a certain morpheme information, the determined discourse range (A movie name) is added to the first morpheme information to the morphemes constituting the first morpheme information (director of “A movie name”; *; *) Yes.
[0093]
That is, assuming that the first morpheme information is W and the determined discourse range is D, the abbreviation sentence complementing unit 350 adds the discourse range D to W and includes the added first morpheme information in the topic search command signal. Output to the topic search unit 360.
[0094]
With this, even when the first morpheme information is an abbreviation and is not clear as Japanese, the abbreviation sentence complementing unit 350, for example, if the first morpheme information belongs to a certain discourse range, The discourse range D (A movie name) is added to the first morpheme information W (Director; *; *), and the first morpheme information is W '(Director of A movie name; *; *) ｛Director of the A movie name is ? Because it can be treated as｝, even if the user's utterance content is an abbreviation, the abbreviation can be complemented based on the previously determined discourse range, and the abbreviation should be clarified Can be.
[0095]
For this reason, the abbreviation sentence complementing unit 350 generates the first morpheme information so that even if the utterance content constituting the first morpheme information is an abbreviation, the utterance content constituting the first morpheme information becomes proper Japanese. The topic search unit 360 obtains an optimal “topic title” (second morpheme information) related to the first morpheme information based on the complemented first morpheme information. The answer sentence search unit 370 can output an answer content more suitable for the utterance content of the user based on the “topic title” acquired by the topic search unit 360.
[0096]
The topic search unit 360 collates the first morpheme information extracted by the phrase analysis unit 420 or the first morpheme information complemented by the abbreviation sentence complementing unit 350 with each second morpheme information, It is a first search means for searching for second morpheme information including morphemes constituting the first morpheme information from among them.
[0097]
Specifically, the topic search unit 360 to which the topic search command signal has been input from the discourse range determination unit 340 or the abbreviation sentence complementing unit 350 has the discourse range based on the first morpheme information included in the input topic search command signal. From each "topic title" (second morpheme information) belonging to the discourse range determined by the determination unit 340, a "topic title" including the morpheme of the first morpheme information is searched, and this search result is used as a search result signal. Output to answer sentence search unit 370 and utterance type determination unit 440.
[0098]
For example, if the “case configuration” that constitutes the first morphological information is (Sato; *; like) {I like Sato}, the topic search unit 360 determines the “case” as shown in FIG. The morphemes (Sato; *; I like) belonging to “composition” are compared with the topic titles 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; *; I like) that matches (or approximates) each morpheme (Sato; *; I like) belonging to "case composition" is searched, and the search result is used as an answer sentence as a search result signal. The data is output to the search unit 370 and the utterance type determination unit 440.
[0099]
The utterance type determination unit 440 to which the search result signal is input from the topic search unit 360 is an answer search command for causing the user to search for a specific answer sentence based on the input search result signal. The signal (the answer search command signal also includes the determined “uttered sentence type”) is output to the answer sentence search unit 370.
[0100]
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. Also, 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 unit that searches for an answer type that matches the utterance type of the user from among the answer types.
[0101]
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 have been input, outputs the topic title (search result) corresponding to the input search result signal. Based on the second morphological information) and the "utterance sentence type" (utterance type) corresponding to the answer search command signal, based on the answer sentence group (each answer content) associated with the "topic title". From among them, an answer sentence composed of an answer type (this answer type means "answer sentence type" shown in FIG. 11) matching "uttered sentence type" (DA, IA, CA, etc.) is searched.
[0102]
For example, if the topic title corresponding to the search result is the topic title 1-1 (Sato; *; I like it) shown in FIG. 12, the answer sentence search unit 370 is associated with the topic title 1-1. From the answer sentence 1-1 (DA, IA, CA, etc.), an answer consisting of an answer type (DA) that matches the "utterance 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.
[0103]
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 judgment unit 320 or the content of the parrot return processing from the parrot return determination unit 330 is input, and the answer sentence corresponding to the input reflection element information, the content of the input parrot return processing Is output to the output unit 600.
[0104]
The output unit 600 is an output unit that outputs the answer sentence obtained by the answer sentence search unit 370. In the present embodiment, for example, a speaker, a display, or the like is used. Specifically, the output unit 600 to which the answer sentence is input from the management unit 310 outputs the input answer sentence {for example, I also like Sato}.
[0105]
(Conversation control method using conversation control device)
The conversation control method by the conversation control device 1 having the above configuration can be performed according to the following procedure. FIG. 15 is a flowchart illustrating a procedure of the conversation control method according to the present embodiment.
[0106]
First, the input unit 100 performs a step of acquiring the utterance content from the user (S101). Specifically, the input unit 100 acquires a voice that constitutes the utterance content of the user, and outputs the acquired voice to the voice recognition unit 200 as a voice signal. The input unit 100 specifies a character string corresponding to the input information (other than voice) based on the input information (other than voice) input from the user, and uses the specified character string as a character string signal as a conversation controller. Output to 300.
[0107]
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 the speech signal is input from the input unit 100 analyzes the input speech signal, and stores a character string corresponding to the analyzed speech signal 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.
[0108]
Then, the morpheme extraction unit 410 performs a step of extracting each morpheme constituting the minimum unit of the character string as the first morpheme information based on the character string specified by the speech recognition unit 200 (S103).
[0109]
Specifically, the morpheme extraction unit 410 to which the character string signal has been input from the management unit 310 includes a character string corresponding to the input character string signal and a noun, adjective, verb, or the like stored in the morphological database 450 in advance. The morphemes are collated with each other, each morpheme (m1, m2,...) That matches the morpheme group is extracted from the character string, and each extracted morpheme is output to the phrase analyzer 420 as an extraction signal.
[0110]
Then, the phrase analysis unit 420 performs a step of compiling 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 respective morphemes corresponding to the input extraction signal to combine them into a phrase format.
[0111]
That is, as shown in FIG. 4, the phrase analysis unit 420 extracts a dependency element (for example, ga wo wo ...) of each morpheme based on each morpheme corresponding to the input extracted signal and extracts the morpheme. The morphemes are grouped into phrases based on the dependency elements. The phrase analysis unit 420 that compiles each morpheme into each phrase, the sentence structure analysis unit 430 and the utterance type determination unit 440, using the morphological information including each morpheme that summarizes each morpheme and each morpheme that composes each phras as a morphological signal. Output to
[0112]
After that, 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 matter and object case (S105). Specifically, the sentence structure analysis unit 430 to which the sentence pattern signal is input from the sentence pattern analysis unit 420, based on each morpheme corresponding to the input sentence pattern signal and the sentence formed by each morpheme, Determine the "case composition".
[0113]
That is, as shown in FIG. 5, for example, when the dependency element of each morpheme is "" or "ha", the sentence structure analysis unit 430 determines that the morpheme before the dependency element is the subject (subject) Or nominative). In addition, for example, when the dependency element of each morpheme is "" or "", the sentence structure analysis unit 430 determines that the morpheme before the dependency element is an object (object).
[0114]
Further, for example, when the dependency element of each morpheme is “do”, the sentence structure analysis unit 430 determines that the morpheme preceding the dependency element is an action (predicate; this predicate is composed of a verb, an adjective, etc.). Is determined.
[0115]
The sentence structure analysis unit 430 that has determined the “case configuration” of each morpheme constituting each phrase, based on the first morpheme information associated with the determined “case configuration”, determines the range of a topic described below. A topic search command signal for specifying is output to topic search section 360.
[0116]
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, the “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 the clause composed of each morpheme.
[0117]
That is, based on each phrase corresponding to the input sentence pattern signal, the utterance type determination unit 440 collates each phrase with each dictionary stored in the utterance type database 460, and from among each phrase, Extract sentence elements related to the dictionary. The utterance type determination unit 440 that extracts a sentence element related to each dictionary from each phrase determines a “speech sentence type” based on the extracted sentence element.
[0118]
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.
[0119]
Next, the reflexive determination unit 320 performs a step of comparing the first morpheme information extracted by the morpheme extraction unit 410 with each of the fixed contents, and searching for the fixed contents including the first morpheme information from among the fixed contents. (S107: reflective processing).
[0120]
Specifically, the reflexive determination unit 320 to which the topic search command signal has been input from the sentence structure analysis unit 430 receives the first morphological information included in the input topic search command signal and each of the information stored in the reflection element database 801. The reflection element information is compared with the reflection element information (standard content), 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.
[0121]
When it is not possible to search for the reflection element information including the first morpheme information from among the respective pieces of reflection element information, the reflexive determination unit 320 determines the topic search command signal input from the sentence structure analysis unit 430 in a parable manner. Output to the unit 330.
[0122]
Next, the parrot return determining unit 330 performs a step of comparing the first morphological information extracted by the morphological extraction unit 410 with each parrot return element, and searching for a parrot return element including the first morphological information from each parrot return element ( S108: parrot return processing).
[0123]
When the parrot return determining unit 330 determines that the first morpheme information is included in each parrot return element, the parrot return element acquires the parrot return element including the first morphological information, and manages an answer sentence including the obtained parrot return element. Output to the unit 310 (parrot return processing). That is, if the parrot return element (response sentence output last time, the utterance content of the previous user's utterance, etc.) is S and the first morpheme information is W, the parrot return determination unit 330 determines that the relationship of W⊂S and W ≠ φ If it is established, the parrot return processing described above is performed.
[0124]
On the other hand, if the parrot return determining unit 330 determines that the first morphological information is not included in each parrot return element, the parrot return determining unit 330 sends the topic search command signal input from the reflective determining unit 320 to the discourse range determining unit 340. Output.
[0125]
Then, the discourse range determination unit 340 compares the first morpheme extracted by the phrase analysis unit 420 with each discourse range, and searches (determines) a discourse range including the first morpheme information from each discourse range. The step is performed (S109).
[0126]
Specifically, the discourse range determining unit 340 to which the topic search command signal has been input from the parrot return determination unit 330 determines, based on the input search command signal, the contents of the conversation database 500 that the user is speaking. Search for a relevant range (discussion range).
[0127]
For example, the discourse range determining unit 340 determines that the first morpheme information included in the input topic search command signal is (interesting movie; *; is there) / is there an interesting movie? In the case of｝, the first morpheme information is collated with the discourse range group, and when 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.
[0128]
On the other hand, if the discourse range group is not 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 abbreviation sentence complementing unit 350.
[0129]
Next, the abbreviation sentence complementing section 350 selects, from among the attributes (subject, object, action, etc.) constituting the first morphological information based on the first morphological information extracted by the phrase analyzing section 420, an attribute that does not include a morpheme. Perform the step of searching for Thereafter, the abbreviation sentence complementing unit 350 performs a step of adding a morpheme constituting the discourse range searched by the discourse range determination unit 340 to the attribute based on the attribute that does not include the searched morpheme (S110; abbreviation sentence). Complement).
[0130]
Specifically, the abbreviation sentence complementing unit 350 to which the topic search command signal has been input from the discourse range determination unit 340, based on the first morpheme information included in the input discourse search command signal, generates an utterance composed of the first morpheme information. It is determined whether the content is an abbreviated sentence, and if the utterance content composed of the first morpheme information is an abbreviated sentence, the morpheme of the discourse range to which the first morpheme information belongs is added to the first morpheme information.
[0131]
For example, the abbreviation sentence complementing unit 350 determines that the morpheme constituting the first morpheme information included in the input topic search command signal is (supervisor; *; *) (supervisor?) Is unknown, so it means an abbreviation.) In the case of, the discourse range previously determined by the discourse range determination unit 340 (A movie name; the A movie name is the movie title) If the first morpheme information belongs to the first morpheme information, the morpheme of the determined discourse range (A movie name) is added to the first morpheme information (“A movie name”). *; *).
[0132]
That is, assuming that the first morpheme information is W and the determined discourse range is D, the abbreviation sentence complementing unit 350 adds the discourse range D to the first morpheme information W, and uses the post-addition first morpheme information as a topic search command. It is included in the signal and output to the topic search unit 360.
[0133]
Next, the topic search unit 360 collates the first morpheme information extracted by the phrase analysis unit 420 or the first morpheme information complemented by the abbreviation sentence complementing unit 350 with each second morpheme information, A step of searching the information for second morpheme information including morphemes constituting the first morpheme information is performed (S111).
[0134]
Specifically, the topic search unit 360 to which the topic search command signal has been input from the discourse range determination unit 340 or the abbreviation sentence complementing unit 350 has the discourse range based on the first morpheme information included in the input topic search command signal. From each "topic title" (second morpheme information) belonging to the discourse range determined by the determination unit 340, a "topic title" including the morpheme of the first morpheme information is searched, and this search result is used as a search result signal. Output to answer sentence search unit 370 and utterance type determination unit 440.
[0135]
For example, if the “case configuration” that constitutes the first morphological information is (Sato; *; like) {I like Sato}, the topic search unit 360 determines the “case” as shown in FIG. The morphemes (Sato; *; I like) belonging to “composition” are compared with the topic titles 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; *; I like) that matches (or approximates) each morpheme (Sato; *; I like) belonging to "case composition" is searched, and the search result is used as an answer sentence as a search result signal. The data is output to the search unit 370 and the utterance type determination unit 440.
[0136]
The utterance type determination unit 440 to which the search result signal is input from the topic search unit 360 is an answer search command for causing the user to search for a specific answer sentence based on the input search result signal. The signal (the answer search command signal also includes the determined “uttered sentence type”) is output to the answer sentence search unit 370.
[0137]
Then, the answer sentence search unit 370 collates the utterance type of the specified 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 step of searching for an answer type that matches the user's utterance type from each answer type and acquiring an answer sentence associated with the answer type based on the searched answer type is performed (S112).
[0138]
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 have been input, outputs the topic title (search result) corresponding to the input search result signal. Based on the second morphological information) and the "utterance sentence type" (utterance type) corresponding to the answer search command signal, based on the answer sentence group (each answer content) associated with the "topic title". From among them, an answer sentence composed of an answer type (this answer type means "answer sentence type" shown in FIG. 11) matching "uttered sentence type" (DA, IA, CA, etc.) is searched.
[0139]
For example, if the topic title corresponding to the search result is the topic title 1-1 (Sato; *; I like it) shown in FIG. 12, the answer sentence search unit 370 is associated with the topic title 1-1. From the answer sentence 1-1 (DA, IA, CA, etc.), an answer consisting of an answer type (DA) that matches the "utterance 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.
[0140]
Next, the management unit 310 to which the answer sentence signal has been 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 reflexive determination unit 320 or the content of the parrot return processing from the parrot determination unit 330 is input, and the answer sentence corresponding to the input reflection element information is input. Is output to the output unit 600 (S113). The output unit 600 to which the answer sentence is input from the management unit 310 outputs the input answer sentence {for example, I also like Sato}.
[0141]
(Operation and effect of the conversation control device and the conversation control method)
According to the invention of 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 of the pre-stored standard contents, and from among, it is possible to find the standard content including a first morpheme information, reflexive determination unit 320, for example when the first morpheme information is a fixed content such as "Hello" includes the standard content it is possible to answer the same boilerplate content "Hello" or the like.
[0142]
When the utterance content of the user is a fixed content, the reflexive determination unit 320 answers the fixed content (such as greeting), so that the user first communicates with the conversation control device 1. You can enjoy the feeling of communicating.
[0143]
In addition, the parrot return determining unit 330 compares the current first morpheme information with the past answer contents, and if the current first morpheme information is not included in the past answer contents, an agreement stored in advance. Since the content can be acquired, if the input information currently input by the user matches the past answer content, the parrot return determination unit 330 returns the user to the past That the user has re-examined the answer).
[0144]
In this case, the parrot return determination unit 330 obtains the stored agreement content because the user has performed a parrot on the past answer content, and obtains the obtained agreement content (for example, “Yes, it is”). Can be output. Thereby, if the user does not understand the meaning of the answer content output from the conversation control device 1, the user can listen again and listen to the answer content again, so that the user is just talking with another user. You can enjoy such feeling.
[0145]
In addition, the parrot return determination unit 330 compares the current first morpheme information with the past first morpheme information, and obtains the repulsion content when the current first morpheme information is included in the past first morpheme information. When the input information input last time is included in the input information input this time, the user repeatedly inputs the same content as the previous input information. It can be determined that the user has not responded appropriately to the content of the response from the conversation control device.
[0146]
In this case, the parrot return determination unit 330 obtains the stored repulsion content, and obtains the obtained repulsion content in order to repel the user because the user has not properly responded to the previous response content. Is output. As a result, if the user does not input appropriate input information with respect to the answer content from the conversation control device 1, the repulsion content is output from the conversation control device 1, so that the user can speak with another user. You can enjoy the feeling of being.
[0147]
Also, the topic search unit 360 may search each second morpheme information belonging to the “discussion range” with the first morpheme information to search for second morpheme information that is similar to the first morpheme information. It is not necessary to collate the second morpheme information with the first morpheme information, so that the time required to search for second morpheme information similar to the first morpheme information can be reduced.
[0148]
As a result, the topic search unit 360 can quickly search (pinpoint search) for the second morpheme information that is similar to the first morpheme information, so that the answer sentence search unit 360 The answer sentence associated with the second morpheme information can be acquired in a short time based on the retrieved second morpheme information, and the conversation control device 1 quickly answers the utterance content from the user. be able to.
[0149]
Also, the topic search unit 360 searches the second morpheme information for second morpheme information including morphemes constituting the first morpheme information (elements constituting the utterance content of the user), and an answer sentence search unit Since the 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 extracts the utterance content of the user. Based on the constituent morphemes (first morpheme information), it is possible to take into account the semantic space (subject, target, etc.) constructed by each morpheme, and obtain the answer content created in advance based on the semantic space. Thus, it is possible to acquire an answer content more suitable for the utterance content than to simply obtain the answer content associated with the keyword using the entire utterance content as a keyword.
[0150]
Further, since the topic search unit 360 searches for the second morpheme information including the first morpheme information, there is no need to search for the second morpheme information that completely matches the utterance content of the user, and the conversation control device 1 is developed. A developer who does not need to previously store a huge amount of response contents corresponding to the utterance contents that will be uttered by the user, and can reduce the capacity of the storage unit.
[0151]
Further, the answer sentence search unit 370 selects an answer type that matches the utterance type of the user from among the answer types (statements, affirmations, places, repulsions, etc.) associated with each second morpheme information belonging to the “discussion range”. Can be obtained, and the answer content associated with the answer type can be acquired based on the searched answer type. Therefore, the conversation control device 1 sets the utterance type that constitutes the conversation content of the user, for example, Based on a simple opinion, a user's impression, or a user's locational element, a response that matches the user's utterance type is selected from multiple responses. As a result, it is possible to obtain an optimum answer to the corresponding user.
[0152]
Furthermore, the answer sentence search unit 370 selects, from among the answer types associated with each second morpheme information belonging only to the “discussion range” retrieved by the discourse range determination unit 340, an answer that matches the utterance type of the user. Since it is only necessary to search for the type (pinpoint search is possible), there is no need to search for the answer type and the user's utterance type associated with the "all" second morpheme information one by one, and the user's utterance type In a short period of time, it is possible to obtain the optimum answer content corresponding to the above.
[0153]
Finally, the abbreviation sentence complementing unit 350 determines that the first morpheme information belonging to the discourse range where the first morpheme information is present even if the first morpheme information constituting the utterance content of the user is an abbreviation 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 composed of abbreviations.
[0154]
With this, the abbreviation sentence complementing unit 350 generates the first morpheme information so that the utterance content constituting the first morpheme information becomes proper Japanese even if the utterance content constituting the first morpheme information is an abbreviation sentence. Can be supplemented with a specific morpheme (such as a morpheme constituting the discourse range), the topic search unit 360 determines the first morpheme based on the complemented first morpheme information supplemented by the abbreviation sentence complementing unit 350. The optimal second morpheme information related to the information can be obtained, and the answer sentence search unit 370 determines an answer content more suitable for the utterance content of the user based on the second morpheme information obtained by the topic search unit 360. Can be output.
[0155]
As a result, even if the input information from the user is an abbreviated sentence, the conversation control device 1 uses the past search result without using the functions such as the neural network and the AI intelligence to determine what the abbreviated sentence means. It is possible to infer whether the conversation control device 1 is to be used, and the developer of the conversation control device 1 does not need to install a neural network and AI intelligence, so that the system of the conversation control device 1 can be constructed more easily.
[0156]
[Example of change]
It should be noted that the present invention is not limited to the above embodiment, and the following changes can be made.
[0157]
(First modification example)
In the present modification, the conversation database 500 may be an element storage unit that stores a plurality 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 compares 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.
[0158]
As shown in FIG. 16, some morphemes included in a character string uttered by the user are similar. For example, as shown in FIG. 16, when the element information indicating the entire set group is “gift”, the “gift” is similar to a present, a gift, a year-end gift, a gift, a celebration, etc. (set group). Therefore, if there is a morpheme similar to “gift” (such as the above-described present), the morpheme extraction unit 410 can treat the similar morpheme as “gift”.
[0159]
That is, for example, when the morpheme extracted from the character string is “present”, the morpheme extracting unit 410 determines that the element information representing “present” is “gift” as shown in FIG. "Present" can be replaced with "gift".
[0160]
Accordingly, the morpheme extraction unit 410 can sort morphemes similar to each other, so that a developer who develops a conversation control device can use a morpheme extraction unit corresponding to a semantic space grasped from each of the mutually similar first morpheme information. It is not necessary to create answer contents related to the two morpheme 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.
[0161]
(Second modification example)
As shown in FIG. 17, in this modification, the topic search unit 360 may include a ratio calculation unit 361 and a selection unit 362.
[0162]
The ratio calculator 361 compares the first morpheme information extracted by the morpheme extractor 410 with each second information, and for each second morpheme information, a ratio of the first morpheme information to the second morpheme information. Is a calculation means for calculating.
[0163]
Specifically, as shown in FIG. 17, the ratio calculation unit 361 to which the topic search command signal is input from the sentence structure analysis unit 430, generates a second morpheme information based on the first morpheme information included in the input topic search command signal. The one morpheme information is compared with each topic title (second morpheme information) belonging to the discourse range stored in the conversation database 500, and for each topic title, the first morpheme information occupies each topic title. Calculate the percentage.
[0164]
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 (Sato; *; I like) belonging to "case composition" is compared with each morpheme (Sato; *; I like) included in the topic title, and each morpheme belonging to "case composition" is added to the topic title. (Sato; *; like) is calculated as 100%. The ratio calculation unit 361 performs these calculations for each topic title, and outputs the calculated ratios to the selection unit 362 as ratio signals.
[0165]
The selection unit 362 is a selection unit that selects one piece of second morpheme information from each piece of second morpheme information according to the magnitude of each ratio calculated for each piece of second morpheme information by the ratio calculation unit 361. is there.
[0166]
Specifically, the selection unit 362 to which the ratio signal is input from the ratio calculation unit 361 selects from among the ratios (element of “case composition” / element of “topic title” × 100) included in the input ratio signal. For example, a topic title having a high ratio is selected (see FIG. 18). The selecting unit 362 that has selected the topic title having a high ratio outputs the selected topic title to the answer sentence searching unit 370 and the utterance type determining 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.
[0167]
Accordingly, the selecting unit 362 calculates, for each piece of the second morpheme information, the ratio of the first morpheme information to the second morpheme information, and calculates the magnitude of each ratio calculated for each piece of the second morpheme information. The second morpheme information can be selected from among the pieces of second morpheme information in accordance with the above. Therefore, the selecting unit 362 determines that the first morpheme information (which constitutes the utterance content of the user) If the second morpheme information having a large proportion of the second morpheme information can be obtained from a plurality of second morpheme information groups, the second morpheme information following the semantic space grasped from the first morpheme information can be more efficiently obtained. As a result, the answer sentence search unit 370 can give an optimal answer to the utterance content of the user.
[0168]
Further, since the selecting unit 362 can select a topic title having a high ratio calculated by the ratio calculating unit 361 from a plurality of topic titles, the selecting unit 362 belongs to the “case configuration” included in the utterance sentence of the user. 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”.
[0169]
As a result, the selecting unit 362 can acquire a topic title closely related to the “case configuration” that forms the first morpheme information, so that the developer who develops the conversation control device 1 configures “ It is not necessary to store topic titles that completely match the "case configuration" in the conversation database 500 one by one, so that the capacity of the conversation database 500 can be reduced.
[0170]
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 “discussion range” retrieved by the discourse range determination unit 340. Therefore, there is no need to calculate the ratio of the first morpheme information to all the second morpheme information, and the second morpheme information following the semantic space composed of the first morpheme information is obtained in a shorter time. As a result, based on the acquired second morphological information, it is possible to quickly output the optimum answer content to the utterance content from the user.
[0171]
Note that the ratio calculation unit 361 collates each morpheme of the first morpheme information belonging to each classified attribute with each morpheme of the second morpheme information belonging to each attribute stored in advance for each attribute. The first morpheme information may be a first retrieval unit that retrieves second morpheme information that includes each morpheme of the first morpheme information in at least one attribute from the second morpheme information.
[0172]
Specifically, the ratio calculation unit 361 to which the topic search command signal has been input, for each “case” (subject; object; action) of the “case configuration” included in the input topic search command signal, generates the “case”. Is compared with each morpheme belonging to the topic title “case” having the same “case”, and it is determined whether or not the morphemes constituting the “case” are the same.
[0173]
For example, as shown in FIG. 19, when the morpheme of the “case” of the “case configuration” is (dog; person; bites) {the dog bites the person}, the ratio calculation unit 361 Match "dog", "person", "bite" with the morpheme "dog", "person", "bite" of the topic title consisting of "case" which is the same as "case" that composes those morphemes Then, among the morphemes “dog”, “person”, and “bite” constituting the topic title, the morpheme “dog” of “case composition” consisting of the same “case” as the “case” corresponding to each morpheme, Calculate (100%) the percentage that matches “person” and “bite”.
[0174]
If the element composing the topic title is (person; dog; bite) {the person bites the dog}, the ratio calculation unit 361 performs the morpheme belonging to the two cases by the same procedure as described above. Therefore, the degree of matching between the morphemes constituting the “case composition” and the “topic title” for each “case” is calculated to be 33% (see FIG. 19).
[0175]
The ratio calculation unit 361 that has calculated the ratio selects a topic title having a high ratio from among 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.
[0176]
Thereby, the ratio calculation unit 361 divides each morpheme of the first morpheme information belonging to each classified “case configuration” (subject case, target case, etc.) and a topic title stored in advance for each “case”. Since the matching can be performed and 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 calculation unit 361 differs from the normal word order. In the case of utterance contents composed of things, for example, "a person bites a dog", the subject morpheme is "people" and the target morpheme is "dog". The matching second morpheme information can be searched, and the answer content associated with the second morpheme information (person; dog; chewing) {“really?” Or “I do not understand the meaning” etc.} is obtained. can do.
[0177]
That is, the ratio calculation unit 361 can identify the utterance content that is difficult to identify, for example, “people bite a dog” and “dog bite a human”. For the former, for example, "really?" For the latter, for example, "OK?"
[0178]
Further, the ratio calculation unit 361 may search the second morpheme information that includes the morpheme of the first morpheme information in at least one attribute from each of the second morpheme information belonging to the “discussion range”, and thus “all”. Of the second morpheme information, it is not necessary to obtain one second morpheme information, it is possible to obtain the second morpheme information following the semantic space composed of the first morpheme information in a shorter time, As a result, the conversation control device 1 can quickly output the optimum answer content to the utterance content from the user based on the acquired second morpheme information.
[0179]
Note that the selection unit 362 may select one topic title from among the topic titles according to a predetermined priority. The priority means a priority for being selected as a topic title. This priority is determined in advance by the developer at the development stage.
[0180]
(Third modification example)
As shown in FIG. 20, the present modified example is not limited to the above-described embodiment and each modified example, and transmits and receives data to and from the communication unit 800 in the conversation control devices 1a and 1b via the communication network 1000. , A conversation database 500b to 500d connected to the communication unit 900, and servers 2a to 2c (conversation control system).
[0181]
Here, the communication network 1000 means a communication network for transmitting and receiving data, and 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 another conversation database may be provided.
[0182]
Thereby, the conversation control unit 300 refers not only to the conversation database 500a disposed inside the conversation control device 1a but also to the other conversation control devices 1b, the other conversation databases 500b to 500d, and the servers 2a to 2c. Therefore, for example, it is not possible to search the conversation database 500a for a discourse range related to each morpheme (first morpheme information) belonging to the "case configuration" included in the topic search command signal. However, by referring to the other conversation control device 1b, the conversation databases 500b to 500d, and the servers 2a to 2c, it is possible to search the discourse range related to the "case configuration" and the like, and the A suitable answer sentence can be searched.
[0183]
(Fourth modification)
The sentence structure analysis unit 430 may store, in the conversation database 500, each “case configuration” constituting the identified first morphological information and each morpheme associated with each “case configuration”. The answer sentence search unit 370 may store, in the conversation database 500, each “case configuration” constituting the searched answer sentence and each morpheme associated with each “case configuration”.
[0184]
The discourse range determination unit 340 may store the searched discourse range in the conversation database 500. The topic search unit 360 may store the searched second morphological information in the conversation database 500.
[0185]
The first morpheme information, the second morpheme information, each "case configuration" constituting the first morpheme information or the second morpheme information and each morpheme associated with each "case configuration", and the retrieved answer sentence The morphemes associated with each “case configuration” and each “case configuration” and the searched discourse range are associated with each other and stored in the conversation database 500 or the parrot return element database 802 as history morpheme information. be able to.
[0186]
The abbreviation sentence complementing unit 350 does not include a morpheme from each of the attributes (subject, object, action, etc .; case composition) constituting the first morphological information based on the first morphological information extracted by the phrase analyzing unit 420. The attribute is searched, and the history morpheme information stored in the conversation database 500 or the parrot return element database 802 is added to the attribute based on the searched attribute.
[0187]
Specifically, the abbreviation sentence complementing unit 350 to which the topic search command signal has been input from the discourse range determination unit 340, based on the first morpheme information included in the input discourse search command signal, generates an utterance composed of the first morpheme information. It is determined whether the content is an abbreviated sentence, and if the utterance content composed 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 parrot return element database 802 is added to the first morpheme information.
[0188]
That is, if 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 complemented first morpheme information W1 is S1 @ W , O1 @ W, A1 @ W, or D1 @ W.
[0189]
The topic search unit 360 collates the first morpheme information W1 complemented by the abbreviation sentence complementing unit 350 with each piece of second morpheme information, and selects the first morpheme information from each “topic title” (second morpheme information). The second morpheme information including W1 is searched, and the searched topic title is output as a search result signal to the answer sentence search unit 370 and the utterance type determination unit 440.
[0190]
Thus, even when the utterance content composed of the first morpheme information is an abbreviation and is not clear as Japanese, the abbreviation complementing unit 350 uses the history morphology information stored in the conversation database 500 to Since the morpheme of the omitted first morpheme information can be complemented, the utterance content composed of the omitted first morpheme information can be clarified.
[0191]
For this reason, if the utterance content constituting the first morpheme information is an abbreviation, the abbreviation sentence complementing unit 350 sets the first morpheme information so that the utterance content composed of the first morpheme information becomes proper Japanese. Can be complemented, the topic search unit 360 determines the optimal “topic title” (second morpheme) related to the first morpheme information based on the first morpheme information with the complemented morpheme. Information), and the answer sentence search unit 370 can output an answer content more suitable for the utterance content of the user based on the optimal “topic title” acquired by the topic search unit 360. .
[0192]
(Fifth modification 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 compares the second morpheme information with the discourse range retrieved by the discourse range determination unit 340 based on the retrieved second morpheme information, and selects a discourse from among the morphemes constituting the second morpheme information. This is a deletion unit that deletes a morpheme that matches the range.
[0193]
Specifically, the topic search unit 360 to which the topic search command signal is input from the abbreviation sentence complementing 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 that matches the first morpheme information is searched from each second morpheme information.
[0194]
Then, based on the retrieved 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 , 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 deletion signal.
[0195]
That is, the deletion unit 363 removes (removes) the current discourse range D2 (this D2 is made up of morphemes) determined by the discourse range determination unit 340 from each morpheme t1 constituting the second morpheme information. Assuming that the result is t2, t2 = t1-D2).
[0196]
The discourse adding unit 364 obtains another discourse range associated with the discourse range searched by the discourse range determination unit 340 based on the second morpheme information from which the morpheme has been deleted by the deletion unit 363, and obtains another obtained discourse range. This is a discourse adding means for adding morphemes constituting the discourse range to the second morpheme information.
[0197]
Specifically, assuming that the discourse range in which the current discourse range D2 is related to the answer sentence K1 is DK, another discourse having a relevance (one having a sibling relationship) to the answer sentence K1 or the current discourse range D2. Since the range D3 can be expressed as D3 = D2∪DK, the second morpheme information W2 after adding the morphemes constituting the other discourse range D3 can be expressed as W2 = t2∪D3.
[0198]
For example, each morpheme t1 constituting the second morpheme information is (A movie name; *; interesting) ｛Is the A movie name interesting? If the current discourse range D2 determined by the discourse range determination unit 340 is (A movie name), the deletion unit 363 first determines from each morpheme t1 (A movie name; *; interesting). The discourse range D2 (A movie name) is deleted, and the deleted result is set as t2 (*; *; interesting) (t2 = t1-D2).
[0199]
If the other discourse range D3 related to the current discourse range D2 (A movie name) is “B movie name”, the second morpheme information after adding the morphemes constituting the other discourse range D3 Since W2 is t2∪D3, (B movie name; *; interesting) ｛B movie name is interesting? ｝.
[0200]
Accordingly, 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. The second morpheme information (A movie name; *; interesting), and the other second morpheme information (B movie name; *; interesting)？ Is the B movie name interesting? Since it can be changed to｝, 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 unit 364, The obtained answer sentence can be output.
[0201]
As a result, the answer sentence search unit 370 does not directly output an answer sentence to the utterance content of the user, but, based on the second morpheme information including the morpheme added by the discourse adding unit 364, the utterance content Can be output, and the output unit 600 can output a more personalized answer sentence based on the answer sentence searched by the answer sentence search unit 370.
[0202]
Note that the discourse adding unit 364 is not limited to the one that adds another discourse range to the second morpheme information from which the morpheme has been deleted, and the history morpheme information (conversation) (Stored in the database 500).
[0203]
(Sixth modification example)
If the second morpheme information including the first morpheme information cannot be searched from the second morpheme information, the topic search unit 360 collates the first morpheme information with each answer content, and If the answer content including the first morpheme information can be searched from among the above, the first search means for acquiring the second morpheme information associated with the searched answer content may be used.
[0204]
Specifically, the topic search unit 360, to which the topic search command signal is input from the abbreviation sentence complementing unit 350, based on the first morpheme information included in the input topic search command signal, If the second morpheme information matching the first morpheme information cannot be obtained from each of the second morpheme information by comparing the morpheme information, as shown in FIG. The answer sentence associated with the second morphological information is collated.
[0205]
By this collation, when the topic search unit 360 determines that the morpheme (action or morpheme associated with the action) constituting the first morpheme information is included in the answer sentence, Search for the associated second morpheme information.
[0206]
Thus, even if the topic search unit 360 cannot search for the second morpheme information that matches the first morpheme information from each of the second morpheme information, the topic search unit 360 can search for the first morpheme information from each answer sentence. Can be identified, and the second morpheme information associated with the identified answer sentence can be searched, so that the utterance content of the user can be specified. Can be appropriately searched for the second morpheme information corresponding to the first morpheme information that constitutes.
[0207]
As a result, the topic search unit 360 can search for the optimum second morpheme information corresponding to the first morpheme information, so that the answer sentence search unit 370 determines the optimum second morpheme information searched for by the topic search unit 360. , It is possible to acquire an appropriate answer content for the utterance content of the user.
[0208]
[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 on a general-purpose computer such as a personal computer.
[0209]
Here, as a programming language, a hierarchical level is established by associating a topic desired by the user, the degree of emotion of the user with respect to a certain matter, or a type of statement, affirmative sentence, question sentence, repellent sentence, etc. with a morpheme according to its semantic content. In this embodiment, for example, a language for storing information in a database, such as a DKML (Discoverse Knowledge Markup Language), an XML (extensible Markup Language), and a C language developed by the inventors.
[0210]
That is, the conversation control device 1 stores data stored in each of the conversation databases 500a to 500d (storage information such as second morphological information, fixed contents, answer sentences, answer types, sets, discourse ranges, and element information), and others. Can be realized by constructing DKML (Discoverse Knowledge Markup Language), XML (eXtensible Markup Language), or the like, and executing a program for using the constructed storage information and the like.
[0211]
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 the morpheme is associated with the analyzed semantic content. In general, a conversation control device, a conversation control system, and a conversation control method that have an operation effect of outputting an optimal response content corresponding to a user's utterance content by outputting a pre-created response content are generally used. It can be easily realized with a simple general-purpose computer.
[0212]
Further, the developer who develops the conversation control device 1 can hierarchically construct the second morphological information and the like for searching for the answer content to the utterance content of the user in the database using the language, The conversation control device 1 can acquire the answer content to the utterance content from the database through a hierarchical procedure based on the utterance content of the user.
[0213]
That is, the conversation control device 1 determines and determines the hierarchy of the utterance contents of the user (for example, whether the second morpheme information stored in the database is in a higher concept or a lower concept). An appropriate answer content can be obtained from each answer content stored in advance based on the hierarchy.
[0214]
For this reason, the conversation control device 1 does not collate the first morpheme information composed of the utterance content of the user with the “all” second morpheme information stored in advance, and each of the morpheme information belonging to a certain specific hierarchy. Since the second morpheme information and the first morpheme information need only be collated, the second morpheme information similar to the first morpheme information can be obtained in a short time.
[0215]
Further, in the communication between the communication unit 800 and the communication unit 900, data may be transmitted and received via the 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 adapted to the user's utterance content through the communication network 1000 in accordance with a convention such as DKML. The searched answer contents (written in DKML or the like) can be searched, and the searched answer contents can be acquired (see FIG. 20).
[0216]
Note that the program can be recorded on a recording medium. As shown in FIG. 23, the recording medium includes, for example, a hard disk 1100, a flexible disk 1200, a compact disk 1300, an IC chip 1400, a cassette tape 1500, and the like. According to the recording medium on which such a program is recorded, it is possible to easily store, transport, and sell the program.
[0217]
[Second embodiment]
(Basic configuration of usage notification system)
A second embodiment of the present invention will be described with reference to the drawings. FIG. 24 shows the internal structure of the usage notification system according to the present embodiment.
[0218]
As shown in FIG. 1, the usage notification system includes a conversation control device 1, a communication unit 2, an authentication unit 3, an authentication database 4, a measuring unit 5, a gas device 6, a water device 7, The difference is that the device 8 and the terminal 10 are provided. Also, as shown in FIG. 25, the conversation control device 1 substantially matches the internal structure of the first embodiment, but differs in that it has an answer sentence generation unit 371 and a keyword database 501. Except for this difference, the structure is the same as that of the first embodiment and the modified example, and the description of the structure other than the difference will be omitted.
[0219]
In the first embodiment, the process in which the conversation control device 1 acquires the optimum answer sentence corresponding to the utterance content based on the utterance content from the user has been described. The present embodiment is different in that the conversation control device 1 performs a process of notifying the user of the usage amount measured by the measuring unit 5 based on input information such as voice input from the user. . The specific description is as follows.
[0220]
In the present embodiment, each function in the first embodiment and the modified example described above, for example, a parrot return process, a reflexive process, and the like are naturally provided, and the effect corresponding to each function in the first embodiment and the modified example is also provided. It plays naturally.
[0221]
The terminal 10 transmits input information such as voice input from a user to the communication unit 2 via the communication network 20. The terminal 10 also receives an answer sent from the communication unit 2 via the communication network 20. Here, the communication network 20 includes, for example, a telephone line network, the Internet, and the like. The terminal 10 is, for example, a mobile terminal, a PDA (Personal Digital Assistance), or the like.
[0222]
Specifically, the user inputs, via an operation unit (not shown), identification information for specifying the identification of the user. The terminal 10 to which the identification information is input transmits the input identification information and the input information input by the user to the communication unit 2 via the communication network 20. The communication unit 2 that has received the identification information and the input information from the terminal 10 outputs the received identification information and the input information to the authentication unit 3.
[0223]
The authentication unit 3 authenticates whether the user's identity information is appropriate. Specifically, the authentication unit 3 to which the identification information has been input from the communication unit 2 collates the identification information with each authentication information stored in advance in the authentication database 4 based on the input identification information. In the present embodiment, the authentication information means information for identifying the identity information.
[0224]
The authentication unit 3 that has performed the collation determines that the identification information is appropriate when the authentication information that matches the identification information can be obtained from the authentication information. The authentication unit 3 that has made this determination outputs the input information that has been input to the conversation control device 1. On the other hand, if the authentication unit 3 cannot obtain authentication information matching the identification information from the authentication information, the authentication unit 3 determines that the identification information is incorrect. The authentication unit 3 that has made this determination returns a refusal to the corresponding terminal 10 indicating that the usage amount measured by the measurement unit 5 is not notified.
[0225]
The gas device 6 means a device that discharges gas. In this embodiment, the gas appliance 6 is, for example, a gas stove. The water supply device 7 means a device for discharging water. In this embodiment, the water supply device 7 is, for example, a water purifier. Examples of the electric device include an air conditioner, an audio device, a rice cooker, and the like.
[0226]
The measuring unit 5 measures the usage of each of the devices 6 to 8. Specifically, the weighing unit 5 measures the usage of each of the devices 6 to 8 and outputs the measured usage to the answer sentence generation unit 371 as a weighing signal. In the present embodiment, as shown in FIG. 28, the usage amount of each of the devices 6 to 8 is measured by the gas amount measurement unit 51, the water amount measurement unit 52, and the power amount measurement unit 53. In the present embodiment, the measuring unit 5 measures the amount of use of each of the devices 6 to 8. However, the measuring unit 5 can also measure the amount of use of each of the devices 6 to 8.
[0227]
The keyword database 501 stores a plurality of keywords related to the usage amount in advance. As shown in FIG. 26, each of the keywords is classified into a target such as a gas amount, a water amount, or an electric power amount. As shown in the figure, for example, when the target is a gas amount, the keywords associated with the gas amount include a gas amount, propane gas, fire, a stove, and the like.
[0228]
Further, for example, when the target is a water amount, the keywords associated with the water amount include a water amount, a faucet, a water amount from a tap, and the like. Further, for example, when the target is an electric energy, the keywords associated with the electric energy include an electric energy, electricity, a heater, a kotatsu, and a pot.
[0229]
When at least one keyword is included in the topic title based on the topic title searched by the topic search unit 360, the answer sentence generation unit 371 notifies the user of the usage amount measured by the measurement unit 5. Things.
[0230]
Specifically, the answer sentence generating unit 371, to which the weighing signal from the weighing unit 5 and the topic title from the topic searching unit 360 are input, based on the input weighing signal and topic title, generates the topic title and each keyword. Collate. When at least one keyword is included in the topic title, the answer sentence generation unit 371 that has performed the collation specifies the target of the keyword using FIG.
[0231]
In addition, "-tai" or the like included in the topic title means that the user's request for a certain matter is requested. Therefore, the answer sentence generating unit 371 selects "power amount" as a keyword from the topic title. When “want to know” can be obtained, it can be inferred that “the user wants to know the electric energy” in a pseudo manner.
[0232]
Furthermore, the sentence sentence, condition sentence, result sentence, time sentence, place sentence, repulsion sentence, etc. described in the first embodiment are not sentences requesting the user's request, so the answer sentence generation unit 371 sets Sentences can be eliminated. Accordingly, the answer sentence generation unit 371 acquires only a topic title including a sentence requesting the user's request, and when the acquired topic title further includes a keyword related to the usage amount, The usage amount associated with the keyword can be notified to the corresponding user. That is, the answer sentence generation unit 371 can accurately notify information about the usage amount desired by the user.
[0233]
When the target of the specified keyword is the electric energy, the answer sentence generating unit 371, as shown in FIG. 27, uses the electric energy (for example, 199 kwh). The answer sentence generation unit 371 applies the usage amount to the ○ portion of the fixed sentence. As this fixed phrase, for example, the amount of electricity used is XX, and the like.
[0234]
The answer sentence generation unit 371 that applies the usage amount to the fixed sentence outputs the fixed sentence to the management unit 310 as an answer sentence. The management unit 310 to which the answer sentence is input from the answer sentence generation unit 371 transmits the input answer sentence to the terminal 10 via the authentication unit 3 and the communication unit 2.
[0235]
In addition, it is preferable that a plurality of codes serving as search criteria are previously associated with the topic title, and that each code is associated with a content related to the usage amount in advance. The conversation database 500 stores a plurality of topic titles as shown in FIG.
[0236]
Here, each symbol in the present embodiment means the amount of use (expected information) of a supply such as electric power, gas, or water which is expected to be used by the user. In the present embodiment, the contents related to the usage amount (forecast information) include, for example, if the amount of power corresponding to the usage amount is high, “currently“ electricity ”is used considerably”. No.
[0237]
Further, the answer sentence generation unit 371 collates each piece of expected information associated with the topic title with the usage amount measured by the measurement unit 5 based on the topic title searched by the topic search unit 360, It is preferable to search for prediction information that matches the usage. Furthermore, it is preferable that the answer sentence generation unit 371 notifies the user of an answer sentence (content related to the usage amount) associated with the predicted information based on the retrieved expected information.
[0238]
Specifically, the answer sentence generating unit 371, to which the weighing signal from the weighing unit 5 and the topic title from the topic searching unit 360 are input, based on the input weighing signal and topic title, generates the topic title and each keyword. Collate. When at least one keyword is included in the topic title, the answer sentence generation unit 371 that has performed the collation specifies the target of the keyword using FIG.
[0239]
The answer sentence generation unit 371 that has specified the target searches for the prediction information that matches the usage amount corresponding to the input weighing signal, from the prediction information that is associated with the specified target. The answer sentence generation unit 371 that has searched for the expected information acquires an answer sentence associated with the searched expected information. The answer sentence generation unit 371 that has obtained the answer sentence outputs the obtained answer sentence to the management unit 310.
[0240]
Thereby, the answer sentence generating unit 371 acquires the answer sentence (see FIG. 28) that indicates the outline of the usage status of each of the devices 6 to 8 according to the amount of usage measured by the measuring unit 5. Therefore, the user can immediately understand the use situation in a specific building by listening to the answer. In particular, the family can easily grasp the living situation of the grandmother and the like living alone by listening to the above-mentioned answer sentence.
[0241]
The measuring unit 5 may measure daily or monthly usage. With this, the user can easily grasp the daily usage amount by listening to the output answer sentence. Therefore, when the user goes out on the day, for example, confirms whether the user has forgotten to turn off the light. Can be facilitated. As a result, the user can prevent a fire or the like due to forgetting to turn off the electric power.
[0242]
In addition, the family can easily grasp the daily living situation of the grandmother who lives alone. As a result, the family can determine that there is no problem with the health of the grandmother if the daily usage in the house of the grandmother is large. On the other hand, the family can determine that the grandmother's health is problematic if the daily usage of the grandmother's house is extremely low.
[0243]
Further, since the user can refer to the monthly usage amount, the user can roughly estimate the usage fee in that month. As a result, when the user pays the usage fee, it is possible to prevent a situation where the user does not have a money corresponding to the usage fee.
[0244]
The topic search unit 360 compares the extracted first morpheme information with each topic title, calculates the ratio of the first morpheme information to the topic title for each topic title, It is preferable to select one topic title from each topic title according to the magnitude of each ratio calculated in (1). This detailed process is as described in the first embodiment.
[0245]
In this case, if the topic search unit 360 can acquire, for example, a topic title in which the first morpheme information constituting the user input information occupies a large part of the topic title from a plurality of topic title groups. Thus, a topic title that follows the semantic space composed of the first morphological information can be acquired more accurately. As a result, the answer sentence generation unit 371 can accurately notify the usage amount requested by the user based on the acquired topic title.
[0246]
(Method of controlling usage notification using usage notification system)
The usage notification control method by the usage notification 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.
[0247]
As shown in the figure, first, the authentication unit 3 performs a step of authenticating whether or not the user's identity information is appropriate (S201). Specifically, the authentication unit 3 to which the identification information has been input from the communication unit 2 collates the identification information with each authentication information stored in advance in the authentication database 4 based on the input identification information.
[0248]
The authentication unit 3 that has performed the collation determines that the identification information is appropriate when the authentication information that matches the identification information can be obtained from the authentication information. The authentication unit 3 that has made this determination outputs the input information that has been input to the conversation control device 1. On the other hand, if the authentication unit 3 cannot obtain authentication information matching the identification information from the authentication information, the authentication unit 3 determines that the identification information is incorrect. The authentication unit 3 that has made this determination returns a refusal to the corresponding terminal 10 indicating that the usage amount measured by the measurement unit 5 is not notified.
[0249]
Next, the input unit 100 performs a step of acquiring input information input from the authentication unit 3 (S202). Then, based on the input information acquired by the input unit 100, the morpheme extraction unit 410 specifies a character string constituting the input information, and performs a step of extracting each morpheme from the specified character string (S203). , S204).
[0250]
Thereafter, the phrase analysis unit 420 performs a step of putting each morpheme into a phrase format based on each morpheme extracted by the morpheme extraction unit 410 (S205). In the present embodiment, morphemes belonging to one phrase form are collectively referred to as first morpheme information. The processing of S202 to S205 is the same as the processing of S101 to S104 described in the first embodiment. Therefore, a detailed description of these processes will be omitted.
[0251]
Next, the discourse range determination unit 340 compares the extracted first morpheme information with each discourse range group stored in the conversation database 500 and included in the first morpheme information from each discourse range group. A discourse range that matches the morpheme is obtained (S205). Thereafter, based on the discourse range searched by the discourse range determination unit 340, the topic search unit 360 extracts a topic title that matches the extracted first morpheme information from each topic title associated with the discourse range. It is acquired (S206). Since the processing of S205 and S206 has been described in the first embodiment, detailed description will be omitted.
[0252]
Next, the measuring unit 5 performs a step of measuring the usage amount of each of the devices 6 to 8 (S208). Specifically, the weighing unit 5 measures the usage of each of the devices 6 to 8 and outputs the measured usage to the answer sentence generation unit 371 as a weighing signal. In the present embodiment, as shown in FIG. 28, the usage amount of each of the devices 6 to 8 is measured by the gas amount measurement unit 51, the water amount measurement unit 52, and the power amount measurement unit 53.
[0253]
Thereafter, if at least one keyword is included in the topic title based on the topic title searched by the topic search unit 360, the answer sentence generation unit 371 sends the usage amount measured by the measurement unit 5 to the user. A notification step is performed (S209). Specifically, the answer sentence generating unit 371, to which the weighing signal from the weighing unit 5 and the topic title from the topic searching unit 360 are input, based on the input weighing signal and topic title, generates the topic title and each keyword. Collate.
[0254]
When at least one keyword is included in the topic title, the answer sentence generation unit 371 that has performed the collation specifies the target of the keyword using FIG. When the specified object is the electric energy, the answer sentence generating unit 371, as shown in FIG. 27, uses the electric energy (for example, 199 kWh) among the electric power corresponding to the input weighing signal. And apply the amount of use to the XX part of the fixed phrase.
[0255]
The answer sentence generation unit 371 that applies the usage amount to the fixed sentence outputs the fixed sentence to the management unit 310 as an answer sentence. The management unit 310 to which the answer sentence is input from the answer sentence generation unit 371 transmits the input answer sentence to the terminal 10 via the authentication unit 3 and the communication unit 2.
[0256]
(Operation and Effect of Usage Notification System and Usage Notification Control Method)
According to the invention having the above-described configuration, the answer sentence generation unit 371 includes, based on a topic title that matches the first morpheme information constituting the user input information, at least When one keyword is included, the user can be notified of the usage amount measured by the measuring unit 5. Thereby, the user can know information related to a desired amount of consumption, for example, the amount of electricity and the amount of gas used through conversation.
[0257]
That is, when a specific keyword is included in the “input information” of the user, the answer sentence generation unit 371 simply notifies information on the usage amount associated with the keyword. Not. The answer sentence generation unit 371 can notify information on the amount of use associated with the keyword, depending on whether or not the “topic title” includes a specific keyword.
[0258]
In particular, since the topic title is obtained by extracting each morpheme included in the input information from the user, it includes only important elements constituting the input information. Based on the title, information about the amount of usage desired by the user can be accurately notified.
[0259]
For example, if the input information is "I want to know the amount of electricity used", the topic title corresponding to the input information is (I; amount of electricity used; want to know). For this reason, the answer sentence generation unit 371 includes the keywords “electricity usage” and “want to know” in the topic title, and thus the “electricity usage” associated with those keywords. Information can be output.
[0260]
Also, "-tai" or the like included in the topic title means requesting one's own desire for a certain matter. For this reason, for example, if the searched topic title includes “electricity usage” and “to want”, the answer sentence generation unit I want to know. " Accordingly, the answer sentence generation unit 371 can accurately notify information on the usage amount requested by the user.
[0261]
Further, a family having a grandmother and the like living alone can easily grasp the living conditions of the grandmother and the like through the information on the usage amount. For example, a family can determine that a grandmother's health is problematic when the grandmother's home uses very little electricity. On the other hand, if the amount of electricity used in the grandmother's house is higher than normal, the family can determine that the grandmother's health is satisfactory.
[0262]
Furthermore, if the content associated with each code indicates an outline of the usage status of each device (for example, electricity is used “many” now, etc.), an answer sentence is generated. The unit 371 can notify the user of the above-described content associated with the code that matches the size based on the size of the usage amount measured by the measuring unit 5. Thus, the user can hear the outline of the specific usage from the conversation control device 1, so that the user can immediately grasp the usage status in the specific building.
[0263]
In addition, since the authentication unit 3 can determine whether the user corresponding to the identification information is an appropriate person based on the identification information received from the terminal, the conversation control device 1 Based on the authentication result, it is possible to notify only a specific person of information on the usage amount. As a result, the user can prevent a person other than his / her family from notifying the information on the usage amount.
[0264]
Finally, the topic search unit 360 includes, based on the discourse range searched by the discourse range determination unit 340, morphemes constituting the first morpheme information extracted from each topic title associated with the discourse range. Topic titles can be searched.
[0265]
This eliminates the need for the topic search unit 360 to collate the “all” topic titles stored in advance with the extracted first morphological information, so that the relevant topic title can be searched more quickly. . As a result, the user can quickly obtain information about the desired usage amount.
[0266]
【The invention's effect】
As described above, according to the present invention, based on input information such as voice input from a user, it is possible to notify the user of the amount of supply of the supply related to the input information.
[Brief description of the drawings]
FIG. 1 is a block diagram illustrating a schematic configuration of a conversation control system according to a first embodiment.
FIG. 2 is a block diagram illustrating an internal structure of a conversation control unit and a sentence analysis unit according to the first embodiment.
FIG. 3 is a diagram illustrating the content of each morpheme extracted by a morpheme extraction unit according to 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 illustrating contents of “case” specified by a sentence structure analysis unit according to the first embodiment.
FIG. 6 is a diagram illustrating “utterance sentence type” specified by an utterance type determination unit according to 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 contents of a hierarchical structure constructed inside a conversation database in the first embodiment.
FIG. 9 is a diagram showing a detailed relationship of a hierarchical structure constructed inside a conversation database in the first embodiment.
FIG. 10 is a diagram showing the contents of a “topic title” constructed inside a conversation database in the first embodiment.
FIG. 11 is a diagram showing the contents of “type of answer sentence” associated with “topic title” constructed inside the conversation database in the first embodiment.
FIG. 12 is a diagram showing contents of “topic title” and “answer sentence” belonging to a “discussion range” constructed inside a conversation database in the first embodiment.
FIG. 13 is a diagram illustrating contents of reflection element information stored in a reflection element database according to the first embodiment.
FIG. 14 is a diagram showing parrot return elements stored in a parrot return element database and the contents of morphemes of the parrot return elements in the first embodiment.
FIG. 15 is a flowchart illustrating a procedure of a conversation control method according to the first embodiment.
FIG. 16 is a diagram showing utterance contents arranged by a morpheme extraction unit in the first modification.
FIG. 17 is a diagram illustrating an internal configuration of a topic search unit according to a second modification.
FIG. 18 is a diagram illustrating a manner in which the ratio calculation unit in the second modification checks each morpheme belonging to “case configuration” and each “topic title” for each “topic title”.
FIG. 19 is a diagram illustrating a manner in which the ratio calculation unit in the second modification checks each morpheme belonging to “each component” and each morpheme belonging to “topic title” for each “case”.
FIG. 20 is a diagram illustrating a schematic configuration of a conversation control system according to a third modification.
FIG. 21 is a diagram illustrating an internal configuration of a topic search unit in a fifth modification.
FIG. 22 is a diagram illustrating a manner in which a topic search unit in the sixth modification example compares first morpheme information with a topic title or an answer sentence.
FIG. 23 is a diagram illustrating a recording medium that stores a program according to the first embodiment.
FIG. 24 is a diagram illustrating a schematic configuration of a usage notification system according to a second embodiment.
FIG. 25 is a diagram illustrating an internal configuration of a conversation control device according to a second embodiment.
FIG. 26 is a diagram illustrating the content of each keyword stored in a keyword database according to the second embodiment.
FIG. 27 is a diagram showing the contents of each answer sentence stored in the conversation database in the second embodiment (part 1).
FIG. 28 is a diagram showing the contents of each answer sentence stored in the conversation database in the second embodiment (part 2).
FIG. 29 is a flowchart showing a procedure of a usage notification control method according to the second embodiment.
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 1 ... Conversation control apparatus, 2 ... Server, communication part, 3 ... Authentication part, 4 ... Authentication database, 5 ... Measuring part, 6 ... Gas equipment, 6-8 ... Equipment, 7 ... Water equipment, 8 ... Electric equipment, 10 ... terminal, 20 ... communication network, 51 ... gas amount measuring unit, 52 ... water amount measuring unit, 53 ... power amount measuring unit, 100 ... input unit, 200 ... voice recognition unit, 300 ... conversation control unit, 310 ... management unit Reference numeral 320: Reflective determination unit, 330: Parrot return determination unit, 340: Discourse range determination unit, 350: Abbreviation sentence complementing unit, 360: Topic search unit, 361: Ratio calculation unit, 362: Selection unit, 363: Deletion unit, 364 ... discourse adding unit, 370 ... answer sentence search unit, 371 ... answer sentence generation unit, 400 ... sentence analysis unit, 410 ... morpheme extraction unit, 420 ... phrase analysis unit, 430 ... sentence structure analysis unit, 440 ... utterance type determination unit , 450 ... morphological database 460: Speech type database, 500: Conversation database, 501: Keyword database, 600: Output unit, 700: Speech recognition dictionary storage unit, 800: Communication unit, 801: Reflection element database, 802: Parrot return element database, 900: Communication unit , 1000 communication network, 1100 hard disk, 1200 flexible disk, 1300 compact disk, 1400 IC chip, 1500 cassette tape

Claims (9)

Metering means for measuring the amount of use of electricity, gas or water supply is provided, and a usage notification system for notifying the usage measured by the meter based on input information input from a user. So,
Keyword storage means for storing a plurality of keywords related to the usage amount in advance,
Based on a character string corresponding to the input information, morpheme extraction means for extracting at least one morpheme constituting the minimum unit of the character string as first morpheme information,
One character, a plurality of character strings or a morpheme storage unit that previously stores a plurality of second morpheme information indicating a morpheme composed of a combination thereof,
The first morpheme information extracted by the morpheme extraction unit is compared with each of the second morpheme information, and among the second morpheme information, the second morpheme information including the morpheme constituting the first morpheme information is included. First search means for searching for morphological information;
Based on the second morpheme information retrieved by the first retrieval means, if at least one of the keywords is included in the second morpheme information, the user is provided with the usage amount measured by the measurement means And a notifying unit for notifying. The usage notification system according to claim 1,
In the second morphological information, a plurality of codes serving as search criteria are associated in advance, and in each of the codes, contents related to the usage amount are associated in advance,
Based on the second morpheme information retrieved by the first retrieval means, the code associated with the second morpheme information is compared with the usage amount measured by the measurement means, Code search means for searching for the code that matches the quantity,
The usage notifying system, wherein the notifying unit notifies a user of the content associated with the code based on the code searched by the code searching unit. A usage notification system according to any one of claims 1 and 2,
Each of the second morphological information is previously associated with a discourse range indicating a morpheme relevant to the input information to be input from the user or the answer to the user,
The first morpheme information extracted by the morpheme extraction means is compared with each discourse range, and the discourse range that matches the morpheme included in the first morpheme information is searched from each discourse range. Having a second search means,
The first search means compares the second morpheme information associated with the discourse range with the extracted first morpheme information based on the discourse range searched by the second search means. And a second notification unit that searches the second morpheme information for the second morpheme information that matches the first morpheme information. Metering means for measuring the amount of supply including power, gas or water is provided, and a usage notification control method for notifying the amount of usage measured by the meter based on input information input from a user. And
Storing in advance a plurality of keywords related to the usage amount;
Based on a character string corresponding to the input information, extracting at least one morpheme constituting the minimum unit of the character string as first morpheme information,
A step of storing a plurality of second morpheme information indicating a morpheme composed of one character, a plurality of character strings, or a combination thereof,
The extracted first morpheme information is compared with the respective second morpheme information, and the second morpheme information including the morpheme constituting the first morpheme information is searched from the respective second morpheme information. Steps and
When at least one of the keywords is included in the second morphological information based on the retrieved second morphological information, the method further comprises the step of: notifying a user of the usage amount measured by the measuring means. A usage notification control method, characterized in that: The usage notification control method according to claim 4, wherein
In the second morphological information, a plurality of codes serving as search criteria are associated in advance, and in each of the codes, contents related to the usage amount are associated in advance,
Based on the retrieved second morphological information, each code associated with the second morphological information is compared with the usage amount measured by the measuring unit, and the code matching the usage amount is compared. Searching for
Notifying the user of the content associated with the code based on the searched code, the usage notification control method. A usage notification control method according to claim 4 or claim 5, wherein
Each of the second morphological information is previously associated with a discourse range indicating a morpheme relevant to the input information to be input from the user or the answer to the user,
Collating the extracted first morpheme information with each of the discourse ranges, and searching for the discourse range that matches the morpheme included in the first morpheme information from each of the discourse ranges;
Based on the searched discourse range, the second morpheme information associated with the discourse range is compared with the extracted first morpheme information, and from among the second morpheme information, Retrieving the second morpheme information that matches the first morpheme information. Metering means for measuring the amount of supply including power, gas or water is provided, and a usage notification system for notifying the usage measured by the meter based on input information input from a user. A program,
On the computer,
Storing in advance a plurality of keywords related to the usage amount;
Based on a character string corresponding to the input information, extracting at least one morpheme constituting the minimum unit of the character string as first morpheme information,
A step of storing a plurality of second morpheme information indicating a morpheme composed of one character, a plurality of character strings, or a combination thereof,
The extracted first morpheme information is compared with the respective second morpheme information, and the second morpheme information including the morpheme constituting the first morpheme information is searched from the respective second morpheme information. Steps and
When at least one of the keywords is included in the second morpheme information based on the retrieved second morpheme information, Program to execute processing. The program according to claim 7, wherein
In the second morphological information, a plurality of codes serving as search criteria are associated in advance, and in each of the codes, contents related to the usage amount are associated in advance,
Based on the retrieved second morphological information, each code associated with the second morphological information is compared with the usage amount measured by the measuring unit, and the code matching the usage amount is compared. Searching for
Notifying a user of the content associated with the code based on the searched code. A program according to claim 7 or claim 8,
Each of the second morphological information is previously associated with a discourse range indicating a morpheme relevant to the input information to be input from the user or the answer to the user,
Collating the extracted first morpheme information with each of the discourse ranges, and searching for the discourse range that matches the morpheme included in the first morpheme information from each of the discourse ranges;
Based on the retrieved discourse range, the second morpheme information associated with the discourse range is compared with the extracted first morpheme information, and from among the second morpheme information, Retrieving the second morpheme information that matches the first morpheme information.

Images