WO2024058005A1 - Processing system, processing method, and program - Google Patents

Abstract

This processing system comprises: an extraction means that extracts words in utterance content from a first participant in a conference; a first identification means that identifies the usage count for words used in a text transmitted in a communication carried out prior to the conference by a second participant in the conference; and a determination means that determines whether the respective usage count for each of the words is less than a prescribed usage count, and determines that a word for which the usage count is determined to be less than the prescribed usage count is an unknown word for which the meaning is unknown to the second participant.

Description

Processing system, processing method and program

The present disclosure relates to a processing system, a processing method, and a program.

In recent years, remote conferences using personal computers and smartphones have become popular. Patent Document 1 discloses, as a related technique, a technique related to an electronic conference system that can eliminate the lack of understanding of the content of a conference (presentation) in an unknown language.

Japanese Patent Application Publication No. 2003-016088

By the way, when using the technology of the electronic conference system described in Patent Document 1 mentioned above to resolve the lack of understanding of the content of the meeting due to unknown words, the audience members themselves need to select the unknown words. Therefore, the audience member must perform an operation to select an unknown word every time an unknown word is uttered, and there is a possibility that the audience member will not be able to concentrate on what is being said in the meeting and may miss what is being said. Therefore, there is a need for a technology that does not require any operation by audience members to select unknown words and can determine unknown words without the audience members being aware of it.

One of the objectives of each aspect of the present disclosure is to provide a processing system, a processing method, and a program that can solve the above problems.

In order to achieve the above object, according to one aspect of the present disclosure, a processing system includes an extraction means for extracting each word in the content of a first participant's statement in a conference, and a second participant in the conference a first specifying means for specifying the number of times each word has been used in a text transmitted in a communication conducted earlier than the first specifying means; and determining means for determining a word whose number of uses is less than a predetermined number of times to be an unknown word whose meaning is unknown to the second participant.

In order to achieve the above object, according to another aspect of the present disclosure, a processing method includes a processing system extracting each word in a speech made by a first participant in a conference, determining the number of times each word was used in a text sent by a second participant in the conference in a communication made prior to the conference, determining whether each word was used less than a predetermined number of times, and determining a word whose number of times it was used less than the predetermined number of times as an unknown word whose meaning is unknown to the second participant.

In order to achieve the above object, according to another aspect of the present disclosure, a program causes a computer to execute the above processing method.

According to each aspect of the present disclosure, there is no need for an audience member to perform an operation to select an unknown word, and an unknown word can be determined without the audience member being aware of it.

1 is a diagram illustrating an example of a configuration of a processing system according to an embodiment of the present disclosure. FIG. 1 is a diagram illustrating an example of a configuration of a web conference system according to an embodiment of the present disclosure. FIG. 2 is a diagram illustrating an example of a database configuration according to an embodiment of the present disclosure. FIG. 3 is a diagram illustrating an example of a data table TBL1 stored in a storage unit according to an embodiment of the present disclosure. FIG. 3 is a diagram illustrating an example of a data table TBL2 stored in a storage unit according to an embodiment of the present disclosure. FIG. 1 is a diagram illustrating an example of a configuration of a terminal device according to an embodiment of the present disclosure. FIG. 3 is a diagram illustrating an example of an image displayed by a display unit according to an embodiment of the present disclosure. FIG. 1 is a diagram illustrating an example of the configuration of an unknown word determination system according to an embodiment of the present disclosure. 1 is a diagram illustrating an example of a configuration of a search system according to an embodiment of the present disclosure. 1 is a diagram illustrating an example of a configuration of a related word extraction system according to an embodiment of the present disclosure. FIG. 3 is a diagram illustrating an example of a data table TBL3 stored in a storage unit according to an embodiment of the present disclosure. 1 is a diagram illustrating an example of a configuration of a part-of-speech analysis system according to an embodiment of the present disclosure. FIG. 1 is a first diagram illustrating an example of a processing flow of a processing system according to an embodiment of the present disclosure. FIG. 2 is a second diagram illustrating an example of a processing flow of a processing system according to an embodiment of the present disclosure. FIG. 3 is a third diagram illustrating an example of a processing flow of a processing system according to an embodiment of the present disclosure. FIG. 4 is a fourth diagram illustrating an example of a processing flow of a processing system according to an embodiment of the present disclosure. FIG. 5 is a fifth diagram illustrating an example of a processing flow of a processing system according to an embodiment of the present disclosure. FIG. 6 is a sixth diagram illustrating an example of a processing flow of a processing system according to an embodiment of the present disclosure. FIG. 7 is a seventh diagram illustrating an example of a processing flow of a processing system according to an embodiment of the present disclosure. FIG. 8 is an eighth diagram illustrating an example of a processing flow of a processing system according to an embodiment of the present disclosure. FIG. 9 is a ninth diagram illustrating an example of a processing flow of a processing system according to an embodiment of the present disclosure. FIG. 10 is a tenth diagram illustrating an example of a processing flow of a processing system according to an embodiment of the present disclosure. 1 is a diagram showing the minimum configuration of a processing system according to an embodiment of the present disclosure. FIG. 2 is a diagram illustrating an example of a processing flow of a processing system with a minimal configuration according to an embodiment of the present disclosure. FIG. 1 is a schematic block diagram showing the configuration of a computer according to at least one embodiment.

Hereinafter, embodiments will be described in detail with reference to the drawings.
<Embodiment>
FIG. 1 is a diagram illustrating an example of the configuration of a processing system 1 according to an embodiment of the present disclosure. As shown in FIG. 1, the processing system 1 includes a web conference system 10, a database 20, terminal devices 30a, 30b, 30c, an unknown word determination system 40, a search system 50, a related word extraction system 60, and a part of speech analysis system 70. Be prepared. Hereinafter, the terminal devices 30a, 30b, and 30c will be collectively referred to as the terminal device 30.

FIG. 2 is a diagram illustrating an example of the configuration of the web conference system 10 according to an embodiment of the present disclosure. The web conference system 10 includes a conversion section 101, a communication section 102, and a control section 103, as shown in FIG.

Under the control of the control unit 103, the conversion unit 101 converts audio uttered by conference participants (hereinafter simply referred to as “audio”) into text. Note that the conversion unit 101 may convert audio into text using a well-known technique.

The communication unit 102 communicates with the terminal device 30 and the unknown word determination system 40 under the control of the control unit 103. For example, the communication unit 102 receives registration information from the terminal device 30. The communication unit 102 then transmits the received registration information to the unknown word determination system 40. The registration information is information that includes at least a user name and permission to access email transmission history and chat transmission history. Furthermore, the communication unit 102 communicates with the terminal device 30 and the unknown word determination system 40 . For example, the communication unit 102 transmits and receives information such as audio and materials used in a conference to and from the terminal device 30. The communication unit 102 also transmits the text converted from the speech by the conversion unit 101 to the unknown word determination system 40 . The communication unit 102 also receives an explanation about the unknown word from the unknown word determination system 40. In an embodiment of the present disclosure, examples of unknown words include words that are determined to be used less frequently for each participant, words that are predetermined based on expertise, difficulty level, and the like.

The control unit 103 controls the processing performed by the web conference system 10. For example, by executing a dedicated application program, the control unit 103 controls the web conference system 10 (that is, the conversion unit 101 and the communication unit 102) according to the dedicated application program, and causes the terminal device 30 to be used in the conference. Instructs to display materials, text converted from speech by the conversion unit 101, explanations of unknown words, etc. The explanation about the unknown word is the explanation of the unknown word at the link destination of the URL (Uniform Resource Locator) received from the unknown word determination system 40 (that is, the search system 50 has searched for the unknown word as described later). . Further, for example, by executing a dedicated application program, the control unit 103 can transmit materials to be used in the conference, text converted from audio by the conversion unit 101, explanations of unknown words, etc. to the terminal device according to the dedicated application program. 30 to be displayed on a display unit 302, which will be described later.

FIG. 3 is a diagram illustrating an example of the configuration of the database 20 according to an embodiment of the present disclosure. As shown in FIG. 3, the database 20 includes a storage section 201, a communication section 202, a search section 203 (an example of a first specifying means), and a control section 204.

The storage unit 201 stores chat transmission history and email transmission history for each conference participant. For example, the communication department 202 uses the permission to access the email sending history and chat sending history to access the email sending history and chat sending history corresponding to the user name, and sends the email corresponding to the user name. When the history and the chat transmission history are received, the storage unit 201 stores the email transmission history and the chat transmission history received by the communication unit 202 in association with each user name as a data table TBL1.

FIG. 4 is a diagram illustrating an example of a data table TBL1 stored in the storage unit 201 according to an embodiment of the present disclosure. As shown in FIG. 4, the data table TBL1 is a data table that includes data indicating chat transmission history and email transmission history for each conference participant (in FIG. 4, participants are represented by user names). be. For example, the storage unit 201 stores a data table TBL1 shown in FIG. 4. Note that this data table TBL1 is generated by processing performed by the processing system 1, which will be described later.

Furthermore, the storage unit 201 stores, for each conference participant, the words used in the chat transmission history and the email transmission history, and the number of times each related word related to the word has been used. FIG. 5 is a diagram illustrating an example of a data table TBL2 stored in the storage unit 201 according to an embodiment of the present disclosure. As shown in FIG. 5, the data table TBL2 is a data table that includes data indicating the number of times each word is used in the chat transmission history and the email transmission history. For example, the storage unit 201 stores a data table TBL2 shown in FIG. 5.

The communication unit 202 communicates with the unknown word determination system 40 under the control of the control unit 204. For example, if the search unit 203 identifies a user name and permission to access the email sending history and chat sending history in the registration information received by the communication unit 202, the communication unit 202 identifies the email sending history and the permission to access the chat sending history. Use the chat sending history access permission to access the email sending history and chat sending history corresponding to the username. Note that the access destination may be included in the registration information or may be separately specified on the dedicated application program. Further, for example, the communication unit 202 receives registration information from the unknown word determination system 40. Further, for example, the communication unit 202 receives words from the unknown word determination system 40. Further, for example, the communication unit 202 receives from the storage unit 201 the number of search hits for each word specified by the search unit 203, which will be described later.

Under the control of the control unit 204, the search unit 203 identifies the user name and permission to access the email transmission history and chat transmission history in the registration information received by the communication unit 202. Further, under the control of the control unit 204, the search unit 203 specifies the same user name as the specified user name in the data table TBL1 stored in the storage unit 201. Then, under the control of the control unit 204, the search unit 203 searches for the specified user name in the data table TBL1 stored in the storage unit 201 using the permission to access the specified email transmission history and chat transmission history. Access associated email sending history and chat sending history. Further, when the communication unit 202 receives a word and a synonym of the word, the search unit 203, under the control of the control unit 204, sends the word and the synonym of the word received by the communication unit 202 to an email that is stored in the storage unit 201. Search in the transmission history of the chat and the transmission history of the chat, and count the number of hits for the search. Then, the search unit 203 records the count as the number of times the corresponding word is used in the data table TBL2. Further, under the control of the control unit 204, the search unit 203 searches for the words received by the communication unit 202 in the chat transmission history and the email transmission history stored in the storage unit 201, and searches for the number of search hits ( That is, the number of times each word has been used in the chat transmission history and email transmission history is identified.

The control unit 204 controls the processing performed by the database 20. For example, the control unit 204 controls the database 20 (that is, the storage unit 201, the communication unit 202, and the search unit 203) according to the dedicated application program by executing the dedicated application program.

Note that when using the terminal device 30, only if the user is able to log in to the terminal device 30 via a dedicated application program, the unknown word determination system is added to the data associated with the user in the database 20. 40 can be accessed.

The terminal device 30 is a device for participating in a web conference. Examples of the terminal device 30 include a PC (Personal Computer) and a smartphone. FIG. 6 is a diagram illustrating an example of the configuration of the terminal device 30 according to an embodiment of the present disclosure. As shown in FIG. 6, the terminal device 30 includes a communication section 301, a display section 302, an audio input section 303, an audio output section 304, and a control section 305 (an example of display control means).

The communication unit 301 communicates with the web conference system 10 under the control of the control unit 305. For example, the communication unit 301 transmits registration information to the web conference system 10. Further, for example, the communication unit 301 transmits and receives web conference materials, text converted from audio by the conversion unit 101, and audio to and from the web conference system 10. Further, for example, the communication unit 301 receives text converted from audio by the conversion unit 101 from the web conference system 10 . Further, for example, the communication unit 301 receives an explanation about an unknown word from the web conference system 10.

Under the control of the control unit 305, the display unit 302 displays materials used in the meeting, text converted from audio by the conversion unit 101, explanations of unknown words, etc. FIG. 7 is a diagram illustrating an example of an image displayed by the display unit 302 according to an embodiment of the present disclosure. The display unit 302 displays a first image A, a second image B, a third image C, and a fourth image D, as shown in FIG. For example, the first image A is an image of materials used in a conference, participants in a web conference, and the like. Further, for example, the second image B is an image of text converted from audio by the conversion unit 101. Further, for example, the third image C is an image of text explaining the word "vulnerability" which has been determined to be an unknown word. Further, for example, the fourth image D is an image of a text explaining the word "security" which has been determined to be an unknown word.

The audio input unit 303 receives audio from conference participants using the terminal device 30 under the control of the control unit 305. For example, the audio input unit 303 is a microphone that is switched between an on state and an off state according to control by the control unit 305.

The audio output section 304 outputs the voices of the conference participants under the control of the control section 305. For example, the audio output unit 304 is a speaker that is switched between an on state and an off state and whose sound volume is switched according to control by the control unit 305.

The control unit 305 controls the processing performed by the terminal device 30. For example, the control unit 305 controls the terminal device 30 (i.e., the communication unit 301, the display unit 302, the audio input unit 303, and the audio output unit 304) according to the dedicated application program by executing the dedicated application program. .

Note that in an embodiment of the present disclosure, three terminal devices 30a, 30b, and 30c are illustrated as the terminal devices 30, but the number of terminal devices 30 is changed depending on the number of users. There may be.

FIG. 8 is a diagram illustrating an example of the configuration of an unknown word determination system 40 according to an embodiment of the present disclosure. As shown in FIG. 8, the unknown word determination system 40 includes a communication section 401, a determination section 402 (an example of determination means), and a control section 403.

The communication unit 401 communicates with the web conference system 10, the database 20, the search system 50, the related word extraction system 60, and the part of speech analysis system 70 under the control of the control unit 403. For example, the communication unit 401 receives registration information from the web conference system 10. The communication unit 401 then transmits the received registration information to the database 20. The communication unit 401 also receives text from the web conference system 10. The communication unit 401 then transmits the received text to the part-of-speech analysis system 70. Further, the communication unit 401 receives from the part-of-speech analysis system 70 words obtained by decomposing text into parts of speech by the part-of-speech analysis system 70 . and. The communication unit 401 transmits each word received from the part of speech analysis system 70 to the related word extraction system 60. The communication unit 401 also receives related words extracted by the related word extraction system 60 from the related word extraction system 60. The communication unit 401 then transmits each word received from the related word extraction system 60 to the database 20. The communication unit 401 also receives from the database 20 the number of times each word has been used, which has been identified by the search unit 203, in the chat transmission history and the email transmission history. Further, if the determining unit 402 determines that the word is an unknown word, the communication unit 401 transmits the word to the search system 50. The communication unit 401 also receives from the search system 50 information indicating a link destination related to the word searched by the search system 50. The communication unit 401 then transmits the information indicating the link destination received from the search system 50 to the web conference system 10. The communication unit 401 also receives chat transmission history and email transmission history from the database 20 along with the user name. The communication unit 401 then transmits the received chat transmission history and email transmission history to the part-of-speech analysis system 70 along with the user name.

Under the control of the control unit 403, the determination unit 402 determines whether a word in the text indicating the content of the user's voice received by the communication unit 401 from the web conference system 10 is an unknown word. For example, the determination unit 402 transmits each word that the communication unit 401 receives from the part-of-speech analysis system 70 to the database 20. Then, the determining unit 402 determines whether the number of uses of each word received by the communication unit 401 from the database 20 is less than a predetermined number of uses. When determining that the number of times a word has been used is equal to or greater than a predetermined number of times, the determining unit 402 determines that the word is not an unknown word. Furthermore, when determining that the number of times a word has been used is less than a predetermined number of times, the determining unit 402 determines that the word is an unknown word.

The control unit 403 controls the processing performed by the unknown word determination system 40. For example, the control unit 403 controls the unknown word determination system 40 (that is, the communication unit 401 and the determination unit 402) in accordance with the dedicated application program by executing the dedicated application program.

FIG. 9 is a diagram illustrating an example of the configuration of a search system 50 according to an embodiment of the present disclosure. As shown in FIG. 9, the search system 50 includes a communication section 501, a search section 502 (an example of a search means), and a control section 503.

The communication unit 501 communicates with the unknown word determination system 40 under the control of the control unit 503. For example, the communication unit 501 receives a word from the unknown word determination system 40. Further, for example, the communication unit 501 transmits information indicating a link destination related to the word specified by the search unit 502, which will be described later, to the unknown word determination system 40.

The search unit 502 searches for information related to the word that the communication unit 501 receives from the unknown word determination system 40 under the control of the control unit 503. For example, the search unit 502 has the function of a web browser, and searches for words received from the unknown word determination system 40 on the web. Further, for example, the search unit 502 searches the dictionary database for the word received from the unknown word determination system 40. The search unit 502 identifies a predetermined number (for example, five) of high ranking sites among the search results. Then, the search unit 502 specifies information indicating the link destination of the specified high-ranking site. An example of information indicating a link destination is a URL (Uniform Resource Locator).

The control unit 503 controls the processing performed by the search system 50. For example, the control unit 503 controls the search system 50 (that is, the communication unit 501 and the search unit 502) according to the dedicated application program by executing the dedicated application program.

FIG. 10 is a diagram illustrating an example of the configuration of a related term extraction system 60 according to an embodiment of the present disclosure. As shown in FIG. 10, the related word extraction system 60 includes a communication section 601, an extraction section 602 (an example of a second specifying means), a control section 603, and a storage section 604.

The communication unit 601 communicates with the unknown word determination system 40 under the control of the control unit 603. For example, the communication unit 601 receives a word from the unknown word determination system 40. Furthermore, the communication unit 601 transmits synonyms of the words identified by the extraction unit 602, which will be described below, to the unknown word determination system 40.

The extraction unit 602 searches for synonyms of the word received by the communication unit 601 under the control of the control unit 603 and identifies the synonyms. For example, the extraction unit 602 searches for the word received by the communication unit 601 in a data table TBL3 stored in the storage unit 604, which will be described later. Then, when the searched word is found in the data table TBL3, the extraction unit 602 identifies the synonym associated with the word as the desired synonym.

The control unit 603 controls the processing performed by the related word extraction system 60. For example, the control unit 603 controls the related term extraction system 60 (that is, the communication unit 601 and the extraction unit 602) according to the dedicated application program by executing the dedicated application program.

The storage unit 604 stores a data table TBL3 that associates various words with synonyms of each word. FIG. 11 is a diagram illustrating an example of a data table TBL3 stored in the storage unit 604 according to an embodiment of the present disclosure. In the example shown in FIG. 11, it is shown that the word "word A" has three synonyms: "synonym A1", "synonym A2", and "synonym A3". Further, in the example shown in FIG. 11, it is shown that the word "word B" has two synonyms, and the word "word C" has four synonyms.

FIG. 12 is a diagram illustrating an example of the configuration of a part-of-speech analysis system 70 according to an embodiment of the present disclosure. As shown in FIG. 12, the part-of-speech analysis system 70 includes a communication section 701, an analysis section 702 (an example of an extraction means), and a control section 703.

The communication unit 701 receives text from the unknown word determination system 40 under the control of the control unit 703. Further, under the control of the control unit 703, the communication unit 701 transmits words that are analyzed by an analysis unit 702 (described later) and broken down into parts of speech, to the unknown word determination system 40.

The analysis unit 702 communicates with the unknown word determination system 40 under the control of the control unit 703. For example, the analysis unit 702 analyzes the text that the communication unit 701 receives from the unknown word determination system 40, and breaks down the text into words for each part of speech. For example, the analysis unit 702 analyzes the text included in the chat transmission history and the email transmission history that the communication unit 701 receives from the unknown word determination system 40, and breaks down the text into words for each part of speech. Note that the analysis unit 702 may use a well-known technique to analyze words and parts of speech in a text, and break down the text into words for each part of speech.

The control unit 703 controls the processing performed by the part of speech analysis system 70. For example, the control unit 703 controls the part-of-speech analysis system 70 (that is, the communication unit 701 and the analysis unit 702) in accordance with the dedicated application program by executing the dedicated application program.

The main processes performed by the processing system 1 have been described above. However, there are other processes that the processing system 1 performs, and the specific processes will be explained below.

Next, processing performed by the processing system 1 according to an embodiment of the present disclosure will be described. Here, first of all, data showing the email sending history and chat sending history for each participant is collected from all participants who use the function of explaining unknown words by the processing system 1 before using that function. Processing for generating table TBL1 and data table TBL2 indicating the number of times a word has been used for each participant will be described. FIG. 13 is a first diagram illustrating an example of a processing flow of the processing system 1 according to an embodiment of the present disclosure. FIG. 14 is a second diagram illustrating an example of the processing flow of the processing system 1 according to an embodiment of the present disclosure. FIG. 15 is a third diagram illustrating an example of the processing flow of the processing system 1 according to an embodiment of the present disclosure. FIG. 16 is a fourth diagram illustrating an example of the processing flow of the processing system 1 according to an embodiment of the present disclosure. In the following explanation, with reference to FIGS. 13 to 16, processing performed by the processing system 1 on participant A, which is one of all the participants, will be explained. Processing similar to that performed by Participant A is also performed for all participants other than Participant A. In the following description, each of the web conference system 10, database 20, terminal device 30, unknown word determination system 40, search system 50, related word extraction system 60, and part of speech analysis system 70 is controlled by its own control unit. Omit what is done. However, even if the explanation is omitted, in reality, the web conference system 10, the database 20, the terminal device 30, the unknown word determination system 40, the search system 50, the related word extraction system 60, and the part of speech analysis system 70 are used. As described above, each is controlled by its own control unit. In addition, in the following explanation, the communication processing performed by each of the communication units 102, 202, 301, 401, 501, 601, and 701 may not be clearly described, but even in that case, the actual communication Communication is performed through each of the sections 102, 202, 301, 401, 501, 601, and 701.

For example, participant A uses the terminal device 30a to launch a dedicated application program and perform initial registration processing. In the initial registration process, registration information including at least a user name (“Participant A” in the example shown here) and permission to access email transmission history and chat transmission history is input into the terminal device 30a. Includes processing. When participant A performs initial registration processing to register registration information on the terminal device 30a, the terminal device 30a transmits the registration information to the web conference system 10 (step S1).

The web conference system 10 receives registration information from the terminal device 30a. The web conference system 10 transmits the received registration information to the unknown word determination system 40 (step S2).

The unknown word determination system 40 receives registration information from the web conference system 10. The unknown word determination system 40 transmits the received registration information to the database 20 (step S3).

The search unit 203 receives registration information from the unknown word determination system 40 via the communication unit 202. The search unit 203, under the control of the control unit 204, identifies the user name and permission to access the email transmission history and chat transmission history in the received registration information (step S4). The search unit 203 uses the access permission to the email transmission history and the chat transmission history via the communication unit 202 to retrieve, for example, the email transmission history and chat transmission history corresponding to the user name stored in the terminal device 30. Access the history (step S5). Then, the search unit 203 receives the email transmission history and the chat transmission history corresponding to the user name from the terminal device 30 via the communication unit 202 (step S6). Here, it is assumed that the terminal device 30 stores the email transmission history and the chat transmission history corresponding to the user name. However, the search unit 203 accesses the email sending history and chat sending history corresponding to the user name through the communication unit 202 using access permission. Any device may store the transmission history as long as it can receive the transmission history.

The storage unit 201 stores the email transmission history and chat transmission history received by the search unit 203 via the communication unit 202 in association with the user name (step S7). By performing the above-described processes from step S1 to step S7 for participant A, the email transmission history and chat transmission history of the user name of participant A in data table TBL1 are generated.

The search unit 203 transmits, via the communication unit 202, the email transmission history and the chat transmission history that the storage unit 201 stored in association with the user name in the process of step S7, together with the user name, to the unknown word determination system 40. (Step S8).

The unknown word determination system 40 receives chat transmission history and email transmission history from the database 20 along with user names. Furthermore, the unknown word determination system 40 transmits the received chat transmission history and email transmission history together with the user name to the part of speech analysis system 70 (step S9).

The analysis unit 702 receives the chat transmission history and the email transmission history together with the user name from the unknown word determination system 40 via the communication unit 701. The analysis unit 702 analyzes the text included in the received chat transmission history and email transmission history, and breaks down the text into words for each part of speech (step S10). The analysis unit 702 transmits the words analyzed by the analysis unit 702 and broken down into parts of speech to the unknown word determination system 40 via the communication unit 701 (step S11).

The unknown word determination system 40 receives words broken down into parts of speech from the part of speech analysis system 70. The unknown word determination system 40 transmits the received words broken down into parts of speech to the related word extraction system 60 (step S12).

The extraction unit 602 receives words broken down into parts of speech from the unknown word determination system 40 via the communication unit 601. The extraction unit 602 searches for synonyms of the received word under the control of the control unit 603 and identifies the synonyms (step S13). The extraction unit 602 transmits the word and synonyms of the word identified by the extraction unit 602 to the unknown word determination system 40 via the communication unit 601 (step S14).

The unknown word determination system 40 receives words and synonyms of the words from the related word extraction system 60. The unknown word determination system 40 transmits the received word and synonyms of the word to the database 20 (step S15).

The search unit 203 receives words and synonyms of the words from the unknown word determination system 40 via the communication unit 202. When the search unit 203 receives a word and a synonym of the word, under the control of the control unit 204, the search unit 203 searches for the received word and synonym of the word in the email transmission history and chat transmission history stored in the storage unit 201. and count the number of hits for the search. Then, the search unit 203 records the count as the number of times the corresponding word is used in the data table TBL2 (step S16). By changing the number of uses in the process of step S16, data table TBL2 is generated.

The search unit 203 transmits a notification to the unknown word determination system 40 via the communication unit 202 indicating that the number of times the word has been used in the data table TBL2 stored in the storage unit 201 has been successfully changed (step S17). The unknown word determination system 40 receives the notification from the database 20 (step S18).

Through the processing of steps S1 to S18 described above, data table TBL1 and data table TBL2 stored in storage unit 201 are generated. Note that each time a user sends an email or chats (for example, each time a dedicated application program detects the transmission of an email or chat), steps S5 to S18 are performed. By doing so, data table TBL1 and data table TBL2 stored in storage unit 201 can be updated.

Next, a process using the function of the processing system 1 to explain unknown words will be described. FIG. 17 is a fifth diagram illustrating an example of the processing flow of the processing system 1 according to an embodiment of the present disclosure. FIG. 18 is a sixth diagram illustrating an example of the processing flow of the processing system 1 according to an embodiment of the present disclosure. FIG. 19 is a seventh diagram illustrating an example of the processing flow of the processing system 1 according to an embodiment of the present disclosure. FIG. 20 is an eighth diagram illustrating an example of the processing flow of the processing system 1 according to an embodiment of the present disclosure. FIG. 21 is a ninth diagram illustrating an example of the processing flow of the processing system 1 according to an embodiment of the present disclosure. FIG. 22 is a tenth diagram illustrating an example of the processing flow of the processing system 1 according to an embodiment of the present disclosure. In the following description, a process using the function for explaining unknown words will be described with reference to FIGS. 17 to 22. Here, it is assumed that participant A and participant B are participating in the conference. However, since discussions are held in a meeting to reach a conclusion, the participants are both speakers and listeners. Therefore, if the processing system 1 is explained assuming that both participant A and participant B are speakers and listeners, the explanation of the processing performed by the processing system 1 becomes complicated, and it is difficult to understand the processing performed by the processing system 1. seems to be difficult. Therefore, in the following, when participant A hears what participant B says, that is, participant B is the speaker (an example of the first participant), and participant A is the listener (an example of the second participant). (Example) A process in which the processing system 1 explains an unknown word to the participant A will be described. Note that it is assumed that participant A and participant B have completed the initial registration process. Furthermore, it is assumed that Participant A and Participant B were able to participate in the web conference by logging in to the terminal device 30a for user A and to the terminal device 30b for user B through the dedicated application program. .

Here, assume that participant B speaks at the meeting. The audio input unit 303 of the terminal device 30b receives participant B's audio. (Step S41). The audio input unit 303 of the terminal device 30b transmits the received voice of participant B to the web conference system 10 via the communication unit 301 of the terminal device 30b (step S42).

The conversion unit 101 receives the voice of participant B from the terminal device 30b via the communication unit 102. The conversion unit 101 converts the received voice of participant B into text (step S43). By executing the dedicated application program, the control unit 103 displays the text converted from the voice of participant B by the conversion unit 101 on the terminal device 30 (terminal device 30a and terminal device 30b) according to the dedicated application program. 302 (step S44).

The display unit 302 of the terminal device 30a displays text indicating the content of participant B's voice according to the dedicated application program through the processing of the control unit 103 in step S44 (step S45). Furthermore, the display unit 302 of the terminal device 30b displays text indicating the content of participant B's voice according to the dedicated application program through the processing of the control unit 103 in step S44 (step S46).

The web conference system 10 transmits text indicating the content of participant B's voice to the unknown word determination system 40 along with the user name of participant B (step S47). The unknown word determination system 40 receives a text indicating the content of the voice of the participant B from the web conference system 10 together with the user name of the participant B. The unknown word determination system 40 transmits the text indicating the content of the received voice of participant B to the part of speech analysis system 70 together with the user name of participant B (step S48).

The analysis unit 702 receives text indicating the content of participant B's voice from the unknown word determination system 40 along with the user name of participant B via the communication unit 701. The analysis unit 702 analyzes the text indicating the content of the received voice of participant B, and decomposes the text into words for each part of speech (step S49). The analysis unit 702 transmits the words analyzed by the analysis unit 702 and broken down into parts of speech to the unknown word determination system 40 via the communication unit 701 (step S50).

The unknown word determination system 40 receives words broken down into parts of speech from the part of speech analysis system 70. The unknown word determination system 40 transmits the received words broken down into parts of speech to the database 20 (step S51).

The search unit 203 receives words broken down into parts of speech from the unknown word determination system 40 via the communication unit 202 . When the search unit 203 receives words broken down into parts of speech, the search unit 203 identifies the user of participant B in the data table TBL2 indicating the number of times the word has been used for each user (step S52). Furthermore, the search unit 203 identifies words that match the words broken down into parts of speech in the data table TBL2 (step S53). Then, the search unit 203 identifies the number of uses associated with both the identified user and the identified word in the data table TBL2 (step S54). For example, if the data table TBL2 is the data table TBL2 shown in FIG. 5, the search unit 203 identifies the user of participant B in the process of step S52, and specifies the word "vulnerability" in the process of step S53. , specify the number of uses as 3. The search unit 203 transmits the number of uses of the word broken down by the identified part of speech to the unknown word determination system 40 via the communication unit 202 (step S55).

The determination unit 402 receives from the database 20, via the communication unit 401, the number of times the word is used broken down into parts of speech specified by the search unit 203. The determination unit 402 determines whether a word in the text indicating the content of the user's (in this case, user B) voice is an unknown word (step S56). For example, the determination unit 402 determines whether the number of times the received word broken down into parts of speech has been used is less than a predetermined number of times. If the determining unit 402 determines that the number of uses of the word broken down into parts of speech is less than a predetermined number of times, the determining unit 402 determines that the word in the text indicating the content of the user's (in this case, user B) speech is an unknown word. It is determined that Further, if the determining unit 402 determines that the number of uses of the word broken down into parts of speech is greater than or equal to a predetermined number of times, the determining unit 402 determines that the word in the text indicating the content of the user's (in this case, user B) speech is an unknown word. It is determined that it is not.

The determination unit 402 determines that the number of uses of the word broken down into parts of speech is less than a predetermined number of times, and determines that the word in the text indicating the content of the user's (in this case, user B) speech is an unknown word. If so (YES in step S56), the word determined to be an unknown word is transmitted to the search system 50 via the communication unit 401 (step S57). Further, when the determining unit 402 determines that all the words are not unknown words (NO in step S56), the process ends.

The search unit 502 receives words determined to be unknown words from the unknown word determination system 40 via the communication unit 501. The search unit 502 searches for information related to the word received from the unknown word determination system 40 (step S58). For example, the search unit 502 has the function of a web browser, and searches for words received from the unknown word determination system 40 on the web. Further, for example, the search unit 502 searches the dictionary database for the word received from the unknown word determination system 40. The search unit 502 identifies a predetermined number (for example, five) of high-ranking sites among the search results (step S59). Then, the search unit 502 identifies information indicating the link destinations of the identified predetermined number of high ranking sites (step S60). The search unit 502 transmits information indicating the link destinations of the identified predetermined number of high-ranking sites to the unknown word determination system 40 via the communication unit 501 (step S61).

The determination unit 402 receives information indicating link destinations of a predetermined number of high-ranking sites from the search system 50 via the communication unit 401. The determining unit 402 determines whether information indicating link destinations of a predetermined number of higher ranking sites has been received for all words determined to be unknown words (step S62). If the determining unit 402 determines that information indicating link destinations of a predetermined number of higher ranking sites has not been received for all words determined to be unknown words (NO in step S62), the process returns to step S57. .

Further, when determining that information indicating link destinations of a predetermined number of higher ranking sites has been received for all words determined to be unknown words (YES in step S62), determination unit 402 determines that the words are unknown words. The link destinations of a predetermined number of higher ranking sites received for all the words are transmitted to the web conference system 10 via the communication unit 401 (step S63). The control unit 103 receives, from the unknown word determination system 40, via the communication unit 102, the link destinations of a predetermined number of higher rank sites received for all words determined to be unknown words. Then, by executing the dedicated application program, the control unit 103 links the link destinations of a predetermined number of higher ranking sites that are explanations of unknown words to the terminal device 30 (in this case, the terminal device 30a). It is displayed on the display unit 302 (step S64). Under the control of the control unit 305, the display unit 302 of the terminal device 30a displays links to a predetermined number of high-ranking sites that are explanations of all words determined to be unknown words (step S65). In the process of step S65, the display unit 302 displays the link destinations of a predetermined number of high-ranking sites, so that the user, participant A, can read words that are unfamiliar to participant A from among the voices uttered by participant B. When an unknown word is used, by clicking on the link of the unknown word, the user can learn the explanation of the unknown word during the meeting, making it easier to understand the content of the meeting.

In the above-described embodiment, a conference such as a web conference is assumed, and user A is the speaker and user B is the audience. All audio during the meeting is converted into text, and unknown words in the speaker's utterances are displayed on the screen through the process of step S65.

The processing system 1 according to an embodiment of the present disclosure has been described above. In the processing system 1, the analysis unit 702 (an example of an extraction means) extracts each word in the content of a statement made by a participant B (an example of a first participant) in the conference. The search unit 203 (an example of a first specifying means) searches for each of the words used in the text sent by participant A (an example of a second participant) of the conference in a communication conducted before the conference. Determine the number of uses. The determining unit 402 (an example of a determining means) determines whether the number of times each word has been used is less than a predetermined number of times, and selects a word whose number of uses has been determined to be less than the predetermined number of times as the second word. It is determined that the word is an unknown word whose meaning is unknown to the participants. By doing so, there is no need for an audience member to perform an operation to select an unknown word, and it is possible to determine an unknown word without the audience member being aware of it.

Note that the processing system 1 according to an embodiment of the present disclosure identifies an unknown word in the audio uttered during the meeting converted into text, identifies a link destination explaining the explanation of the unknown word, It has been explained that the explanation of the unknown word is displayed by displaying the link destination. However, instead of converting the audio uttered during a meeting into text, the processing system 1 according to another embodiment of the present disclosure identifies unknown words in the text indicated by the minutes of the meeting, and converts the unknown words into text. The explanation of the unknown word may be displayed by specifying a link destination explaining the explanation of the word and displaying the link destination.

FIG. 23 is a diagram showing the minimum configuration of the processing system 1 according to the embodiment of the present disclosure. The processing system 1 includes an extraction means 801, a first identification means 802, and a determination means 803, as shown in FIG. Extracting means 801 extracts each word in the content of the first participant's statement. The extraction means 801 is realized, for example, by the analysis section 702 shown in FIG. 12. The first identifying means 802 identifies the number of times each of the words is used in a text sent by a second participant of the conference in a communication conducted prior to the conference. The first specifying means 802 is realized, for example, by the search unit 203 shown in FIG. The determining means 803 determines whether or not the number of times each word has been used is less than a predetermined number of times, and the word whose number of uses has been determined to be less than the predetermined number of times has a meaning for the second participant. It is determined that the word is an unknown word that is not understood. The determining means 803 is realized, for example, by the determining unit 402 shown in FIG.

FIG. 24 is a diagram illustrating an example of a processing flow of the processing system 1 with the minimum configuration according to the embodiment of the present disclosure. Next, processing of the processing system 1 with the minimum configuration according to the embodiment of the present disclosure will be described with reference to FIG. 24.

The extraction means 801 extracts each word in the content of the statement made by the first participant in the meeting (step S101). The first specifying means 802 specifies the number of times each word is used in a text sent by a second participant of the conference in a communication conducted prior to the conference (step S102). The determining means 803 determines whether or not the number of times each word has been used is less than a predetermined number of times, and the word whose number of uses has been determined to be less than the predetermined number of times has a meaning for the second participant. It is determined that the word is an unknown word (step S103).

The processing system 1 with the minimum configuration according to the embodiment of the present disclosure has been described above. With this processing system 1, there is no need for an audience member (second participant) to perform an operation to select an unknown word, and an unknown word can be determined without the audience member being aware of it.

Note that the order of the processing in the embodiment of the present disclosure may be changed as long as appropriate processing is performed.

Although the embodiment of the present disclosure has been described, the above-mentioned processing system 1, web conference system 10, database 20, terminal device 30, unknown word determination system 40, search system 50, related word extraction system 60, part of speech analysis system 70, etc. The control device may include a computer system therein. The above-described processing steps are stored in a computer-readable recording medium in the form of a program, and the above-mentioned processing is performed by reading and executing this program by the computer. A specific example of a computer is shown below.

FIG. 25 is a schematic block diagram showing the configuration of a computer according to at least one embodiment. The computer 5 includes a CPU (Central Processing Unit) 6, a main memory 7, a storage 8, and an interface 9, as shown in FIG.

For example, each of the above-mentioned processing system 1, web conference system 10, database 20, terminal device 30, unknown word determination system 40, search system 50, related word extraction system 60, part of speech analysis system 70, and other control devices is a computer. Implemented in 5. The operations of each processing section described above are stored in the storage 8 in the form of a program. The CPU 6 reads the program from the storage 8, expands it to the main memory 7, and executes the above processing according to the program. Further, the CPU 6 reserves storage areas corresponding to each of the above-mentioned storage units in the main memory 7 according to the program.

Examples of the storage 8 include HDD (Hard Disk Drive), SSD (Solid State Drive), magnetic disk, magneto-optical disk, CD-ROM (Compact Disc Read Only Memory), DVD-ROM (Digital ital Versatile Disc Read Only Memory) , semiconductor memory, etc. Storage 8 may be an internal medium directly connected to the bus of computer 5, or may be an external medium connected to computer 5 via interface 9 or a communication line. Furthermore, when this program is distributed to the computer 5 via a communication line, the computer 5 that received the distribution may develop the program in the main memory 7 and execute the above processing. In at least one embodiment, storage 8 is a non-transitory tangible storage medium.

Additionally, the above program may implement some of the functions described above. Furthermore, the program may be a file that can realize the above-described functions in combination with a program already recorded in the computer system, a so-called difference file (difference program).

Although several embodiments of the present disclosure have been described, these embodiments are examples and do not limit the scope of the disclosure. Various additions, omissions, substitutions, and changes may be made to these embodiments without departing from the spirit of the disclosure.

Note that some or all of the above embodiments may be described as the following additional notes, but are not limited to the following.

(Additional note 1)
Extracting means for extracting each word in the content of a first participant's statement in the meeting;
first identifying means for identifying the number of times each of the words was used in a text sent by a second participant in the conference in a communication conducted prior to the conference;
Determining whether the number of times each word is used is less than a predetermined number of times,
determining means for determining a word whose number of uses is less than a predetermined number of times to be an unknown word whose meaning is unknown to the second participant;
A processing system comprising:

(Additional note 2)
second identifying means for identifying synonyms of each word used in the text;
Equipped with
The first identifying means is
determining the number of times the synonym is used in the text;
The determining means is
Including the number of times the synonym is used in the number of times each word is used,
Determining whether the number of times each word is used is less than a predetermined number of times,
determining a word whose usage count is less than a predetermined number of usages as the unknown word;
The processing system described in Appendix 1.

(Additional note 3)
The said text is
at least one of an email and a chat sent by the second participant in communication conducted prior to the meeting;
The processing system according to appendix 1 or 2.

(Additional note 4)
display control means for displaying the unknown word on a display means;
The processing system according to any one of Supplementary Notes 1 to 3, comprising:

(Appendix 5)
The display control means includes:
displaying an explanation of the unknown word on a display means together with the unknown word;
The processing system described in Appendix 4.

(Appendix 6)
a search means for searching the meaning of the unknown word in at least one of the Web (World Wide Web) and a database;
Equipped with
The display control means includes:
displaying on the display means the meaning of the unknown word searched by the search means together with the unknown word;
The processing system described in Appendix 5.

(Appendix 7)
The display control means includes:
When displaying on the display means the meaning of the unknown word searched by the search means on the Web together with the unknown word;
displaying information indicating a link destination of the meaning of the unknown word on the Web on the display means;
When the second participant performs an operation to display the link destination,
displaying the meaning of the unknown word at the link destination on the display means together with the unknown word;
The processing system described in Appendix 6.

(Appendix 8)
Extracting each word in the speech content of the first participant in the meeting;
determining the number of times each of the words was used in text sent by a second participant in the conference in communications prior to the conference;
Determining whether the number of times each word is used is less than a predetermined number of times,
Determining a word that has been used less than a predetermined number of times as an unknown word whose meaning is unknown to the second participant;
A processing method carried out by a processing system that includes.

(Appendix 9)
A program that causes a computer to execute the processing method performed by the processing system according to appendix 8.

This application claims priority based on Japanese Patent Application No. 2022-145946 filed on September 14, 2022, and the entire disclosure thereof is incorporated herein.

According to each aspect of the present disclosure, there is no need for an audience member to perform an operation to select an unknown word, and an unknown word can be determined without the audience member being aware of it.

1... Processing system 5... Computer 6... CPU
7... Main memory 8... Storage 9... Interface 10... Web conference system 20... Database 30, 30a, 30b, 30c... Terminal device 40... Unknown word determination system 50. ... Search system 60 ... Related word extraction system 70 ... Part of speech analysis system 101 ... Conversion section 102, 202, 301, 401, 501, 601, 701 ... Communication section 103, 204, 305, 403 , 503, 603, 703... control section 201, 604... storage section 203, 502...search section 302...display section 303...audio input section 304...audio output section 402... - Judgment unit 602...Extraction unit 702...Analysis unit

Claims (15)

1. Extracting means for extracting each word in the content of the first participant's statement in the meeting;
   a first identifying means for identifying the number of times each word was used in a text sent by a second participant in the conference in a communication conducted prior to the conference;
   Determining whether the number of times each word is used is less than a predetermined number of times,
   a determining means for determining a word that has been used less than a predetermined number of times as an unknown word whose meaning is unknown to the second participant;
   A processing system comprising:
2. second identifying means for identifying synonyms of each word used in the text;
   Equipped with
   The first identifying means is
   determining the number of times the synonym is used in the text;
   The determining means is
   Including the number of times the synonym is used in the number of times each word is used,
   Determining whether the number of times each word is used is less than a predetermined number of times,
   determining a word whose usage count is less than a predetermined number of usages as the unknown word;
   The processing system according to claim 1.
3. The said text is
   at least one of an email and a chat sent by the second participant in a communication conducted prior to the meeting;
   The processing system according to claim 1 or 2.
4. display control means for displaying the unknown word on a display means;
   The processing system according to any one of claims 1 to 3, comprising:
5. The display control means includes:
   displaying an explanation of the unknown word on the display means together with the unknown word;
   The processing system according to claim 4.
6. a search means for searching for the meaning of the unknown word in at least one of the Web (World Wide Web) and a database;
   Equipped with
   The display control means includes:
   displaying on the display means the meaning of the unknown word searched by the search means together with the unknown word;
   The processing system according to claim 5.
7. The display control means includes:
   When displaying on the display means the meaning of the unknown word searched by the search means on the web together with the unknown word;
   displaying information indicating a link destination of the meaning of the unknown word on the Web on the display means;
   When the second participant performs an operation to display the link destination,
   displaying the meaning of the unknown word at the link destination on the display means together with the unknown word;
   The processing system according to claim 6.
8. The processing system
   Extract each word in the content of the first participant's statement in the meeting,
   determining the number of times each of the words was used in a text sent by a second participant in the conference in a communication conducted prior to the conference;
   Determining whether the number of times each word is used is less than a predetermined number of times,
   A word determined to have been used less than a predetermined number of times is determined to be an unknown word whose meaning is unknown to the second participant.
   Processing method.
9. identify synonyms for each word used in said text;
   determining the number of times the synonym is used in the text;
   Including the number of times the synonym is used in the number of times each word is used,
   Determining whether the number of times each word is used is less than a predetermined number of times,
   Determining a word that has been used less than a predetermined number of times as the unknown word;
   The processing method according to claim 8.
10. The said text is
    at least one of an email and a chat sent by the second participant in a communication conducted prior to the meeting;
    The processing method according to claim 8 or 9.
11. displaying the unknown word on a display;
    The processing method according to any one of claims 8 to 10.
12. displaying an explanation of the unknown word on the display along with the unknown word;
    The processing method according to claim 11.
13. Searching for the meaning of the unknown word on at least one of the Web (World Wide Web) and a database,
    displaying the meaning of the unknown word together with the unknown word on the display;
    The processing method according to claim 12.
14. When displaying the meaning of the unknown word searched on the web together with the unknown word on the display device,
    displaying information indicating a link destination of the meaning of the unknown word on the Web on the display;
    When the second participant performs an operation to display the link destination,
    displaying the meaning of the unknown word at the link destination on the display device together with the unknown word;
    The processing method according to claim 13.
15. A program that causes a computer to execute the processing method according to any one of claims 8 to 14.

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