KR20150117914A - Language learning system by a plurality of Users - Google Patents
Language learning system by a plurality of Users Download PDFInfo
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- KR20150117914A KR20150117914A KR1020140043686A KR20140043686A KR20150117914A KR 20150117914 A KR20150117914 A KR 20150117914A KR 1020140043686 A KR1020140043686 A KR 1020140043686A KR 20140043686 A KR20140043686 A KR 20140043686A KR 20150117914 A KR20150117914 A KR 20150117914A
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Abstract
Provides a multi-user participatory language learning system that enables multilingual and extensible learning-based machine translation.
The language learning system according to the present invention includes: a learning content providing unit for providing a learning content having a first language to at least one first user through a network; And a user input unit for inputting input language information in a second language different from the first language or the first language input by the at least one first user through the network, The learning content providing unit receives at least one third user who receives the learning content together with input language information and evaluation information together with at least one third user who receives the learning information from the at least one second user, Together.
Description
The present invention relates to a language learning system in which a plurality of users can participate, and more particularly, to a language learning system in which a multi-lingual and expandable machine- To a user participatory language learning system.
The present invention is derived from research conducted by Korea Electronics and Telecommunications Research Institute and Saltlux Co., Ltd. as part of the Ministry of Knowledge Economy's industrial convergence technology development project.
[Research period: 2013. 06. 01 ~ 2014. 05. 31, Research institute: Korea Industrial Technology Evaluation & Management Institute, Research title: Knowledge-based multi-lingual tourism / international event interpretation rate 90% Translation and interpretation software original technology development, task number: 100418077]
With the development of smart devices, there is an increasing need for automatic translation / interpretation techniques for text or speech via smart devices. However, there are a lot of technical developments in the translation of texts, which are simple words or literary texts. However, in the case of translation / interpreting of colloquial texts or voices, analysis of colloquialisms that can be made in various forms, Since it is difficult to recognize the excluded voice, it is only realized within a limited range, and there is a limitation that the speed of development is very slow.
SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and it is an object of the present invention to provide a system and method for multi-language automatic translation / translation based on speech and text, And a language learning system in which a large number of users participate.
In order to solve the above technical problem, there is provided a multi-user participatory language learning system which enables multi-lingual and expandable machine-based learning.
The language learning system according to the present invention includes: a learning content providing unit for providing a learning content having a first language to at least one first user through a network; And a user input unit for inputting input language information in a second language different from the first language or the first language inputted by the at least one first user through the network, Wherein the learning content receiving unit receives from the at least one second user provided with the learning content and the input language information evaluation information on the input language information through the network, And provides the user with the evaluation information together with the input language information.
The input language information may be text or voice.
And a machine translation unit for recognizing the first language of the learning content and providing a machine translation result in the second language, wherein the input language information includes at least one of the first language, Wherein the learning content providing unit is configured to provide the at least one first user with the machine translation result in the second language, and the evaluation information input by the at least one second user The information may be for the user translation information and the machine translation result in the second language.
And a user translation managing unit for performing learning on the machine translation result in the second language by the machine translation unit based on the user translation information and the evaluation information and feeding back the result to the machine translation unit .
And a machine translation unit for recognizing the first language and providing a machine translation result in the second language, wherein the input language information includes at least one of a first language, Wherein the learning content providing unit provides the at least one first user with the machine translation result in the second language for the user language information provided by the machine translation unit, And receive feedback information on the user language information or the machine translation result for the user language information from the at least one first user.
And a user language management unit for performing learning on the recognition of the first language by the machine translation unit based on the user language information and the feedback information and feeding back the recognition to the machine translation unit.
And a user content input unit that receives user content having the first language from at least one fourth user through the network, wherein the learning content providing unit is configured to transmit the user content to the at least one first user Learning contents can be provided.
The evaluation information may be a recommendation on the input language information, and the learning content providing unit may provide the input language information to the at least one third user in order of recommendation.
Wherein the learning content includes a voice in the first language, the machine translation unit converts a voice in the first language into a text in the first language, and the machine translation result is a text in the second language Lt; / RTI >
The machine translation unit may interoperate with an external machine translation engine outside the language learning system to provide the machine translation result.
The language learning system according to the present invention can allow a plurality of users to participate in language learning using a game method. Therefore, it is possible to perform learning that can be easily extended to the machine translation unit for supporting multilingual automatic translation / translation based on voice and text. Accordingly, it is possible to improve the performance of automatic translation / translation technology based on rules and patterns manually established by a small-scale knowledge expert in the past, and to dramatically improve the time required for automatic translation / translation by machine translation Can be shortened.
In particular, since the language learning system according to the present invention includes a plurality of users, speech recognition techniques for various voices and machine translation techniques for various language variations can be improved with minimum cost and time.
Accordingly, the development period of the multilingual automatic translation / translation system based on the MICE (Meeting, Incentives, Convention, Exhibition) industry can be shortened and the performance can be dramatically improved at a minimum cost.
In addition, it is possible to give incentives to users in consideration of points, level, etc., while allowing a large number of users to participate through a game method. For example, the development time of the multilingual automatic translation / translation system can be shortened and the cost saved thereby can be used to compensate the user according to the user's pointer. Also, for example, language ability authentication can be performed in consideration of the level of the user, etc., and a person with excellent language ability can be selected through this.
1 is a schematic diagram showing a configuration of a language learning system according to an embodiment of the present invention.
2 is a conceptual diagram illustrating a flow of contents and information displayed in a process of a user performing a viewing and learning through a language learning system according to an embodiment of the present invention.
3 is a conceptual diagram illustrating a flow of contents and information displayed in a process of performing translation learning by a user through a language learning system according to an embodiment of the present invention.
4 is a schematic diagram showing a configuration of a language learning system according to another embodiment of the present invention.
FIG. 5 is a conceptual diagram illustrating a flow of contents and information in a process of performing language learning by a user through a language learning system according to another embodiment of the present invention.
6A to 6H are views illustrating user interfaces provided through a smart device to a user who wishes to perform translation learning through a language learning system according to an embodiment of the present invention
Hereinafter, a multi-user participatory language learning system according to embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, the present invention is not limited to the following embodiments, The present invention may be embodied in various other forms without departing from the spirit of the present invention. That is, it is to be understood that the specific structural or functional descriptions are merely illustrative of the embodiments of the present invention, and that the embodiments of the present invention may be embodied in various forms and are construed as being limited to the embodiments described herein No. It is to be understood that the invention is intended to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention, as defined by the following claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In the present application, the terms "comprises ", or" comprising ", etc. are intended to specify the presence of stated features, integers, steps, operations, elements, or combinations thereof, But do not preclude the presence or addition of steps, operations, elements, or combinations thereof.
Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the meaning in the context of the relevant art and are not to be construed as ideal or overly formal in meaning unless expressly defined in the present application .
1 is a schematic diagram showing a configuration of a language learning system according to an embodiment of the present invention.
Referring to FIG. 1, a multi-user participant
Here, the learning content means a sound or image content having information in a language, for example, a music (song) with lyrics, or a video having a dialogue. The first language means a main language constituting information in a language included in the learning contents. And the second language means a language different from the first language in which the first language is translated.
When the
Here, it is exemplified that the learning content has one language. However, the learning content may have two or more languages. In this case, the first language may mean all of two or more languages possessed by the learning content, The second language may be two or more different languages for each of two or more languages the learning content has. If the learning content has two or more languages but the
That is, the first language means a language to be taught to the
For example, when the learning contents are composed of English and Korean, and the
The
The
The
The
The learning
The
The
The user
The
The
The
The
The
The
Hereinafter, a process of the
The
The learning
The learning
The learning
That is, the
The
The evaluation information may be a natural language containing various information (evaluation, error intellectuals, opinion presentation, etc.), or may be merely data containing machine translation content or a score for user translation information or whether or not it is "good".
The evaluation information on the machine translation content or the user translation information may be stored in the user information user
The evaluation information may be displayed directly to the
The user
The user translation by the
The first user means a user who receives the learning content from the learning
The classification of the first to third users is based on the premise that input of the input language information for the learning content, input of the evaluation information to the input language information, and provision of the evaluation information are sequentially performed, Is provided and the user in each stage is classified based on the flow in which input language information and evaluation information are inputted and provided.
From the viewpoint of the
Therefore, the
2 is a conceptual diagram illustrating a flow of contents and information displayed in a process of a user performing a viewing and learning through a language learning system according to an embodiment of the present invention.
1 and 2, a viewing / listening user who is a
The audience learning user can receive the user translation information inputted by each of the plurality of translation learning users as the user translation content. In this case, the translation learning user can be called the first user, and the viewing and learning user can be called the third user. Also, although not separately shown, the user who inputs the evaluation information constituting the translation recommendation information provided with the machine learning content and / or the user translation content may be referred to as the second user.
The viewing learning user may simply learn the language learning by watching the provided learning content, but may also input the evaluation information about the machine translation content and / or the user translation content provided with the learning content through the user
3 is a conceptual diagram illustrating a flow of contents and information displayed in a process of performing translation learning by a user through a language learning system according to an embodiment of the present invention. The same parts as those described in Fig. 2 of the description of Fig. 3 may be omitted.
Referring to FIGS. 1 and 3 together, a translation learning user who is a
The translation learning user may refer to some or all of the subtitle content, the machine translation content, or the user translation content, or may create user translation information based only on the voices included in the learning content and input the user translation information to the user
4 is a schematic diagram showing a configuration of a language learning system according to another embodiment of the present invention. In FIG. 4, the description overlapping with the description in FIG. 1 may be omitted.
Referring to FIG. 4, the multi-user participant
The
The
The
The user
Hereinafter, a process in which the
The
After the user language information is inputted, the learning
The learning
The user
FIG. 5 is a conceptual diagram illustrating a flow of contents and information in a process of performing language learning by a user through a language learning system according to another embodiment of the present invention. The same description as that described in Figs. 1 to 3 of the description of Fig. 5 may be omitted.
Referring to FIGS. 4 and 5, the language learning user can receive the learning content through the learning
The language learning user can receive the machine translation result, which is the machine translation result for the inputted user language information, after inputting the user language information which is text or voice, which is a result of dictation or follow-up of the provided learning contents. The language learning user can input the feedback information by reviewing the provided machine translation content.
6A to 6H are views showing user interfaces provided to a user who wishes to perform translation learning through a language learning system according to an embodiment of the present invention through a smart device. The user interfaces shown in Figs. 6A and 6H are illustrative and not restrictive, and can be implemented in various ways.
Referring to FIGS. 1 and 6A together, the
The
1 and 6B, a
Membership and login procedures shown in FIGS. 6A and 6B are not essential, and it is also possible to use the
Referring to FIG. 1 and FIG. 6C, a user logged into the
Referring to FIGS. 1 and 6D together, when the
In FIGS. 6C and 6D, it is shown that the learning content is selected first and then the type of language learning is selected. However, it is also possible to select the type of language learning and then select the learning content.
Referring to FIG. 1 and FIG. 6E together, the
Referring to FIGS. 1, 6D and 6F together, the
Referring to FIGS. 1 and 6G together, when the user content is uploaded, the
Referring to FIG. 1 and FIG. 6H, the
Alternatively, the user translation information or the user language information input by the
As described above, the
Particularly, since a plurality of
Accordingly, the development period of the multilingual automatic translation / translation system based on the MICE (Meeting, Incentives, Convention, Exhibition) industry can be shortened and the performance can be dramatically improved at a minimum cost.
An incentive can be given to the
Embodiments of the present invention can be written as a program that can be executed in a computer system. In addition, the program read from the computer-readable recording medium containing the program can be executed in the digital computer system.
Examples of the computer-readable recording medium include a ROM, a RAM, a CD-ROM, a DVD-ROM, a magnetic tape, a floppy disk, an optical data storage device and the like. Further, a carrier wave (for example, And the like. The computer readable recording medium may also be distributed over a networked computer system so that computer readable code can be stored and executed in a distributed manner. And functional programs, codes, and code segments for implementing the present invention can be easily inferred by programmers skilled in the art to which the present invention pertains.
The present invention relates to a system and method for providing a language learning system and a language learning system using the same. A user translation input unit, a user language input unit, a learning content storage unit, a machine translation unit, a user translation storage unit, a user language storage unit, a user translation management unit, : User management unit 800: user information storage unit 900: user content input unit
Claims (10)
And a user input unit for inputting input language information in a second language different from the first language or the first language input by the at least one first user through the network,
Wherein the user input unit receives evaluation information on the input language information from at least one second user provided with the learning content and the input language information through the network,
Wherein the learning content providing unit provides the evaluation information together with the input language information to at least one third user who is provided with the learning content.
Wherein the input language information is text or voice.
And a machine translation unit for recognizing the first language of the learning contents and providing a machine translation result in the second language,
Wherein the input language information is user translation information in the second language by the at least one first user,
The learning content providing unit may provide the at least one first user with the machine translation result in the second language,
Wherein the evaluation information input by the at least one second user is for the user translation information and the machine translation result in the second language.
And a user translation management unit for performing learning on the machine translation result in the second language by the machine translation unit based on the user translation information and the evaluation information and feeding back the result to the machine translation unit system.
And a machine translation unit for recognizing the first language and providing a machine translation result in the second language,
Wherein the input language information is user language information by the at least one first user in the first language,
The learning content providing unit may provide the at least one first user with the machine translation result in the second language for the user language information provided by the machine translation unit,
Wherein the user input unit receives the user language information or feedback information on the machine translation result for the user language information from the at least one first user.
And a user language manager for performing learning about recognition of the first language by the machine translation unit based on the user language information and the feedback information, and feeding back the recognition to the machine translation unit.
And a user content input unit for receiving user content having the first language from at least one fourth user through the network,
Wherein the learning content providing unit provides the user content to the at least one first user as the learning content.
Wherein the evaluation information is recommendation on the input language information,
Wherein the learning content providing unit provides the input language information to the at least one third user in order of recommendation.
Wherein the learning content comprises speech in the first language,
Wherein the machine translation unit converts the voice in the first language into text in the first language, and the machine translation result is text in the second language.
Wherein the machine translation unit interlocks with an external machine translation engine external to the language learning system to provide the machine translation result.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101957043B1 (en) | 2017-09-27 | 2019-03-11 | 이화여자대학교 산학협력단 | Class assisit method for simultaneous interpretation class instructor and computer readable medium for performing the method |
KR101957045B1 (en) | 2017-09-27 | 2019-03-11 | 이화여자대학교 산학협력단 | Assist method for simultaneous interpretation self study and computer readable medium for performing the method |
KR101957044B1 (en) | 2017-09-27 | 2019-03-11 | 이화여자대학교 산학협력단 | Class assist method for simultaneous interpretation class learners and computer readable medium for performing the method |
KR101979114B1 (en) * | 2017-11-09 | 2019-05-15 | 이화여자대학교 산학협력단 | Class assistive method for consecutive interpretation class instructor and computer readable medium for performing the method |
KR102082851B1 (en) * | 2019-04-05 | 2020-04-23 | 송승헌 | Server and method for providing daily translation course |
KR102313561B1 (en) * | 2020-11-23 | 2021-10-18 | 주식회사 보인정보기술 | Method And Apparatus for Providing Untact Language Assessment by Using Virtual Tutor Robot |
-
2014
- 2014-04-11 KR KR1020140043686A patent/KR20150117914A/en not_active Application Discontinuation
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101957043B1 (en) | 2017-09-27 | 2019-03-11 | 이화여자대학교 산학협력단 | Class assisit method for simultaneous interpretation class instructor and computer readable medium for performing the method |
KR101957045B1 (en) | 2017-09-27 | 2019-03-11 | 이화여자대학교 산학협력단 | Assist method for simultaneous interpretation self study and computer readable medium for performing the method |
KR101957044B1 (en) | 2017-09-27 | 2019-03-11 | 이화여자대학교 산학협력단 | Class assist method for simultaneous interpretation class learners and computer readable medium for performing the method |
KR101979114B1 (en) * | 2017-11-09 | 2019-05-15 | 이화여자대학교 산학협력단 | Class assistive method for consecutive interpretation class instructor and computer readable medium for performing the method |
KR102082851B1 (en) * | 2019-04-05 | 2020-04-23 | 송승헌 | Server and method for providing daily translation course |
KR102313561B1 (en) * | 2020-11-23 | 2021-10-18 | 주식회사 보인정보기술 | Method And Apparatus for Providing Untact Language Assessment by Using Virtual Tutor Robot |
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