KR20170052974A - Method for Translation Correction and Server for Providing Translation Correction Service - Google Patents
Method for Translation Correction and Server for Providing Translation Correction Service Download PDFInfo
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- 238000013519 translation Methods 0.000 title claims abstract description 272
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- 238000012986 modification Methods 0.000 claims abstract description 10
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- 238000011156 evaluation Methods 0.000 claims description 20
- 230000001915 proofreading effect Effects 0.000 claims description 20
- 238000005259 measurement Methods 0.000 claims description 15
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Abstract
Description
The present invention relates to a server for providing a translation proofreading service, and more specifically, a translation proofreading method and a translation proofreading service for providing a correct translation result by correcting a machine-translated result by using a collective intelligence of a native speaker Server.
There is growing interest in improving foreign language ability in line with internationalization accelerating day by day. This interest is not limited to English, but as international exchange with various linguistic countries becomes more and more active, the need for smooth communication through various foreign languages is more emphasized. For this reason, we translate one language into several different languages using machine translator provided by various translator application and domestic and overseas portal, and it helps communication. However, the above-mentioned machine translation has a problem that the accuracy of the translation is very low, and when the language use situation or the contextual aspect is taken into consideration, the result is often translated as an awkward vocabulary, to be. In addition, the accuracy of the machine translation result can not be predicted with respect to a language (for example, Arabic, Spanish, Russian, etc.) having no background knowledge at all, and the translator or translation application can not be used immediately.
To solve these problems, researches on natural language processing, language recognition, and speech recognition technology are being actively carried out in and out of the country. However, it is difficult to expect a remarkable improvement of translator performance and speech recognition in the short term. Because language has many things to consider for the correct use of the language, such as culture, context, situation, speaker and listener, writer and reader of a particular country and region, and the difference is also very subtle, It takes a lot of time to develop the technology to provide translation.
However, even if a high-quality translator is developed, translation and translation results of people who are generally referred to as native speakers who use a particular language as their mother tongue are often the most accurate. Therefore, until a complete translation program is developed, It is preferable to provide a distributed correction service application or the like which makes it possible to use a native speaker's language ability.
SUMMARY OF THE INVENTION It is an object of the present invention to provide a server and a translation correction method for providing a translation correction service using a collective intelligence of a native speaker and a system for providing a translation correction service for language learning.
In order to solve the above-mentioned problems, a native language translation correction method in a translation correction service providing server includes a step of collecting a source for translation from a previously registered user in a data management module of a server; Performing a machine translation of the original text collected by the translation correction module of the server; Collecting a translation modification request for the machine translation result from the translation correction module of the server and matching the native speaker performing the translation modification of the machine translation result; Arranging and displaying the translation correction result of the matched native speaker in the display module of the server together with the original text and the machine translation result; .
In a preferred embodiment, matching a native speaker performing a translation modification to a machine translation result; Measuring the language level required for the translation modification based on the source including the original text and the machine translation result, the vocabulary difficulty, the text length, and the original text; Extracting a pre-registered native speaker matching the measured language level; And
Matching the extracted native speaker with a translation correction operator; .
In a preferred embodiment, extracting a pre-registered native speaker matching the measured language level; Classifying native speakers who are already registered for each mother tongue; Evaluating a language level of a native speaker by using a native language level measurement indicator accumulated in a server including personalized information of the classified native speaker, the number of translation correction, the amount of correction text, and the difficulty level of language use; Matching a native speaker with a translation proofreader of a language requiring translation correction, taking into account the evaluated native language level and the level of the language requiring translation correction; .
In a preferred embodiment, the step of evaluating the language level by native speaker is accomplished through feedback analysis of the translation correction result adoption rate and the translation correction result by the translator.
In a preferred embodiment, the result of translation correction by a matched native speaker is evaluated by another native speaker at a language level higher than that of the native speaker who performed the translation correction, and the evaluation results are cumulatively stored so that the language level of the matched native speaker .
According to another aspect of the present invention, a translation correction service providing server for language learning updates and stores personal information, a language level, a language level evaluation information, and a database for each language type of a previously registered user, A data management module for collecting the necessary source data; A language level measurement module for evaluating a language level of the collected original text and for searching a native language level higher than the original language level through a language level evaluation of a previously registered native speaker and matching the searched native speaker with a machine translation correctionist ; A translation proofreading module for receiving a machine translation proofreading from a native speaker matched with the machine translation proofreader after performing the machine translation of the original text and providing the input translation proofreading result; A display module for displaying and sorting the translation correction result provided from the translation correction module, the source and the machine translation result; .
In a preferred embodiment, the language level measurement module measures the language level of the original text based on the length of the original text, the difficulty of the words included in the original text, and the source of the original text based on the language data of the data management module, The number of corrective actions of the native speaker, the length of the text corrected by the native speaker, and the evaluation of the translation correction result.
In a preferred embodiment, the data management module; A language database and a language data providing server, which are interlocked with an SNS (Social Network Service) server, process information of users subscribed to a specific SNS as membership members of a translation correction service providing server, provide language- And provides language data for evaluating the language level of the native speaker and the language level of the original text.
In a preferred embodiment, the translation correction module collects translation correction results for the same original text, compares the respective translation results, and calculates the accuracy according to the occurrence frequency of the same word included in the comparison result.
According to another aspect of the present invention, a system for providing a translation correction service exposes a machine translation result to a previously registered native language group after machine translation of a source requiring translation, A translation correction service providing server for providing a correction result; At least one mobile device for transmitting a source text requiring translation to a translation correction service providing server and transmitting a translation correction result; And language information and translation data storage server for providing machine translation data to a translation correction service providing server; .
In a preferred embodiment, the translation correction service providing server evaluates the language level of the original text based on the length of the original text, the source, the difficulty of the words included in the original text, and evaluates the language level of the native language A native speaker who is at a language level higher than the language level of the original text is searched, the searched native speaker is matched with the machine translation correction operator, and the translation result provided by the matched machine translation correction operator is transmitted to the mobile device.
According to the present invention, by providing a translation correction service based on the collective intelligence of native speakers, accurate translation correction services can be conveniently provided through a mobile terminal, and accurate translation results can be confirmed.
In addition, the user plays a role of correcting the translation as a native speaker of the mother tongue used by the user of the translation correction service, thereby performing the two roles of the service provider and the consumer simultaneously to provide the user with a foreign language learning opportunity, Make sure that you can make profits through the points you earn when adopting the post-calibration results.
FIG. 1 illustrates a cloud computing system providing a translation correction service according to an embodiment of the present invention.
2 shows a schematic configuration of a translation correction service providing server according to an embodiment of the present invention.
FIG. 3A shows a configuration of a data management module according to an embodiment of the present invention.
FIG. 3B shows a configuration of a language level measurement module according to an embodiment of the present invention.
FIG. 4 shows a configuration of a translation correction module according to an embodiment of the present invention.
5 shows a configuration of a display module according to an embodiment of the present invention.
6 shows a flow of a method of providing a translation correction service according to an embodiment of the present invention.
7A shows that the translation correction result is displayed according to the embodiment of the present invention.
FIG. 7B is a view for explaining a point acquisition of a native speaker who has performed translation correction according to an embodiment of the present invention.
7C shows a display example of a translation correction service providing application according to an embodiment of the present invention.
7D shows an example in which the social network service provided in the embodiment of the present invention is displayed.
BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention, and the manner of achieving them, will be apparent from and elucidated with reference to the embodiments described hereinafter in conjunction with the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as being limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. And is intended to enable a person skilled in the art to readily understand the scope of the invention, and the invention is defined by the claims. It is to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. It is noted that " comprises, " or "comprising," as used herein, means the presence or absence of one or more other components, steps, operations, and / Do not exclude the addition.
As used herein, the? Module? Quot; may be interpreted to include software, hardware, or a combination thereof, depending on the context in which the term is used. For example, the software may be machine language, firmware, embedded code, and application software. In another example, the hardware can be a circuit, a processor, a computer, an integrated circuit, a circuit core, a sensor, a micro-electro-mechanical system (MEMS), a passive device, or a combination thereof.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Reference will now be made in detail to the preferred embodiments of the present invention, examples of which are illustrated in the accompanying drawings. 7A to 7D showing an example of display of the present invention are used in explaining the embodiments.
FIG. 1 illustrates a cloud computing system providing a translation correction service according to an embodiment of the present invention.
Referring to FIG. 1, a
In particular, the system for providing a translation correction service according to an embodiment of the present invention exposes the machine translation result to a pre-registered native language group after machine translation of a source requiring a translation, , A translation proofreading service providing server (200) for receiving the translation proofreading service providing server and providing a translation proofreading result, at least one mobile device (100) for transmitting the original text requiring translation to the translation proofreading service providing server And a translation
Referring to FIG. 7A, an embodiment of the present invention will be described in more detail. When a registered user touches a translation button on a desired original text, a machine translation result (a) is generated, (a) After the creation, touch the Native Correction Request button marked by correction by natives to provide the translation result (b) corrected by a native speaker who uses the language of the original text as the native language.
FIG. 2 shows a schematic configuration of a translation correction
2, the translation correction
The
The language
At this time, the language
After performing the machine translation of the original text, the
The
FIG. 3A shows a configuration of a data management module according to an embodiment of the present invention.
3A, the
The personal
The language level management unit 213 updates and manages the language ability level of native speakers reflecting the amount of translation correction work performed by native speakers and the result of translation correction evaluation.
The
The country-specific language
3B shows a configuration of a language
Referring to FIG. 3B, the language
The number-of-correction-
Based on the language data of the
The
For example, the
In addition, it is possible to calculate the probability that the number of translation proofreading and translation proofreading is adopted for each native speaker, thereby evaluating the language level of the native speaker. At this time, it is necessary to place a predetermined point on the request for translation correction to the native speaker so that the translation correction requester must perform the corrected result, and to receive the result when the translation correction result is adopted, thereby evaluating the result of the translation correction of the native speaker . In addition, by analyzing the language and translation request data used by all the users who provide the original text as well as the native language performing the proofreading, all users are evaluated for the manner of using the proofreading service, and the compensation Point, free use, etc.
FIG. 4 shows a configuration of a
Referring to FIG. 4, the
The
The
The
5 shows a configuration of a
Referring to FIG. 5, the
Hereinafter, a method of providing a translation correction service according to an embodiment of the present invention will be described. The functions (functions) of the translation correction service providing method according to the embodiment are essentially the same as those of the translation correction service providing server and the computing system for providing the translation correction service, so that the description overlapping with those of FIGS. 1 to 5 will be omitted.
6 shows a flow of a method of providing a translation correction service according to an embodiment of the present invention.
In step S100, the data management module of the server performs a process of collecting a source for translation from a previously registered user.
In step S200, the machine translation of the original text collected by the translation correction module of the server is performed.
In step S300, a translation correction request for the machine translation result is collected. In step S400, a native speaker who performs translation correction on the machine translation result is matched. In the translation example, the process of matching a native speaker may include: measuring a language level required for translation modification based on a source including a source text and a vocabulary difficulty, a text length, and a source text included in a machine translation result; Extracting a pre-registered native speaker matching the measured language level; And matching the extracted native speaker with a translation correcting operator; . ≪ / RTI > In this case, the step of extracting the pre-registered native speakers may include classifying the pre-registered native speakers according to the native language used by native speakers; Evaluating the language level of each native speaker using the native language level measurement indicator accumulated in the server, including the personal information of the native native speakers, the number of corrective translations, the amount of correction text, and the language difficulty level; And matching the native speaker with a translation proofreader of a language that requires translation correction, taking into account the evaluated native language level and the level of the language requiring translation correction; . ≪ / RTI > For example, if the original language difficulty requested by the server user is evaluated as an intermediate level, the translation correction is performed to a native speaker who is evaluated as a middle or higher level language so as to obtain a reliable translation correction result.
On the other hand, if the translation correction by the native speaker is not performed for a specific time after the request for translation correction, the matching process is repeated and the translation correction is performed by the matched native speaker.
In an embodiment, the translation correction result evaluation is evaluated by another native speaker at a language level higher than that of the native speaker who performed the translation correction, and the evaluation results are cumulatively stored and updated by updating the language level of the matched native speaker Can be used. In addition, when multiple native speakers perform translation correction on the original text, the translation correction result may be evaluated through the number of adoption of the translation correction requester, the accumulation point of the native speaker, and the positive feedback frequency with respect to the translation result (for example, have.
In step S500, when the translation correction by the matched native speaker is input, in step S600, the process of accumulating points is performed to the native speaker who has performed the correction according to the results of the adoption and correction evaluation by the user of the translation correction service.
In step S700, the translation correction result of the matched native speaker in the display module of the translation server is arranged and displayed together with the original text and the machine translation result.
FIG. 7C shows an example of a display of an application for providing a translation correction service according to an embodiment of the present invention. In addition, a social network service such as conversation, pen pal, friend making with a specific native speaker can be provided.
7D shows an example in which the social network service provided in the embodiment of the present invention is displayed. As shown in FIG. 7D, the user can receive news of a registered friend, participate in open debate as a translation correction result And a variety of social network services can be provided.
Meanwhile, a method of providing a translation correction service according to an embodiment of the present invention may be implemented in a computer system or recorded on a recording medium. The computer system may include at least one or more processors, a memory, a user input device, a data communication bus, a user output device, and a storage. Each of the above-described components performs data communication via a data communication bus. The computer system may further include a network interface 129 coupled to the network. The processor may be a central processing unit (CPU), or a semiconductor device that processes instructions stored in memory and / or storage. The memory and the storage may include various forms of volatile or non-volatile storage media. For example, the memory 123 may include ROM and RAM. Therefore, the method of providing a translation correction service according to an embodiment of the present invention can be implemented by a method executable by a computer.
Meanwhile, the method of providing a translation correction service according to the embodiment of the present invention described above can be implemented as a computer-readable code on a computer-readable recording medium. The computer-readable recording medium includes all kinds of recording media storing data that can be decoded by a computer system. For example, there may be a ROM (Read Only Memory), a RAM (Random Access Memory), a magnetic tape, a magnetic disk, a flash memory, an optical data storage device and the like. The computer-readable recording medium may also be distributed and executed in a computer system connected to a computer network and stored and executed as a code that can be read in a distributed manner.
While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims. Therefore, the scope of the present invention should not be limited by the illustrated embodiments, but should be determined by the scope of the appended claims and equivalents thereof.
Claims (11)
Collecting a source for translation from a pre-registered user in a data management module of the server;
Performing machine translation of the collected original text in a translation correction module of the server;
Collecting a translation modification request for the machine translation result in the translation correction module of the server and matching the native speaker performing the translation modification of the machine translation result;
Arranging and displaying the translation correction result of the matched native speaker in the display module of the server together with the original text and the machine translation result; A native language translation correction method.
Measuring a language level required for translation modification based on the source and the source including the vocabulary difficulty, the text length and the original text included in the machine translation result;
Extracting a pre-registered native speaker matching the measured language level; And
Matching the extracted native speaker with a translation correction operator; Wherein the first language translation proofreading method comprises the steps of:
Classifying the pre-registered native speakers according to the language;
Evaluating the language level of each native speaker by using the native language level measurement indicator accumulated in the server, including the personal information of the classified native speaker, the number of correcting translations, the amount of correction text, and the language difficulty level;
Matching the native speaker with a translation corrector of a language requiring translation correction in consideration of the evaluated language level of the native speaker and the level of the language requiring translation correction; Wherein the first language translation proofreading method comprises the steps of:
And a feedback analysis of the result of the translation correction by the translator and the correction result of the translation correction.
And the evaluation result is accumulated and used to determine a language level of the matched native speaker. The method of claim 1, wherein the first language level is higher than the first language level.
A data management module for updating the personal information, the language level, the language level evaluation information, and the database for each language type of the pre-registered user, and collecting a source for translation from a previously registered user;
Evaluating a language level of the collected original text, searching a native language level higher than the language level of the original text through the language level evaluation of the previously registered native language, and matching the searched native speaker with the machine translation correctionist A level measurement module;
A translation correction module for receiving the machine translation correction from a native speaker matched with the machine translation correction operator after the machine translation of the original text and providing the input translation correction result; And
A display module for displaying and sorting the translation correction result provided from the translation correction module, the source and the machine translation result; And a server for providing the translation proofreading service.
Wherein the language level of the original text is measured based on the length of the original text, the word difficulty included in the original text, and the source of the original text based on the language data of the data management module, Wherein the translation proofreading service providing server performs the translation proofreading service providing server based on the length of the text corrected by the native speaker and the evaluation of the translation proofreading result.
A language database and a language data providing server, which are interlocked with an SNS (Social Network Service) server to process information of users subscribed to a specific SNS as membership members of the translation correction service providing server, And provides language data for evaluating the language level of the native speaker and the language level of the original text.
Collects the translation correction results for the same original text, compares the respective translation results, and sets the accuracy according to the occurrence frequency of the same word included in the comparison result.
A translation correction service providing server for exposing the machine translation result to a previously registered native language group after machine translation of a source requiring translation and providing the translation correction result for the machine translation result;
At least one mobile device for transmitting the original text requiring translation to the translation correction service providing server and transmitting the translation correction result; And
A language information and a translation data storage server for providing machine translation data to the translation correction service providing server; And a translation correction service providing system.
Evaluating the language level of the collected original text based on the length of the original text, the source, and the degree of difficulty of words included in the original text, and evaluating the language level of the original text, And translating the translation result provided by the matched machine translation correction performer to the mobile device by searching the native speaker who is a language level of the machine translation proofreader and matching the searched native speaker with the machine translation correction performer.
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| KR1020150155154A KR101751898B1 (en) | 2015-11-05 | 2015-11-05 | Method for Translation Correction and Server for Providing Translation Correction Service |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20190040891A (en) * | 2017-10-11 | 2019-04-19 | 주식회사 산타 | System and Method for Extracting Voice of Video Contents and Interpreting Machine Translation Thereof Using Cloud Service |
| KR20200076420A (en) * | 2018-12-19 | 2020-06-29 | 주식회사 딕토 | Server for matching transcription work and method thereof |
| KR20210057015A (en) | 2018-09-20 | 2021-05-20 | 도레이 카부시키가이샤 | Thermoplastic polyester resin composition and molded article |
| KR102306344B1 (en) * | 2021-03-17 | 2021-09-28 | 남지원 | Transformer Translation System for Deep Learning Using Triple Sentence Pair |
| KR20220111825A (en) * | 2021-02-02 | 2022-08-10 | 주식회사 휴텍씨 | System for providing translation services based on distribution model |
| KR20220111801A (en) * | 2021-02-02 | 2022-08-10 | 주식회사 휴텍씨 | System for providing interpretation services based on distribution model |
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2015
- 2015-11-05 KR KR1020150155154A patent/KR101751898B1/en active IP Right Grant
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| Publication number | Priority date | Publication date | Assignee | Title |
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| KR20190040891A (en) * | 2017-10-11 | 2019-04-19 | 주식회사 산타 | System and Method for Extracting Voice of Video Contents and Interpreting Machine Translation Thereof Using Cloud Service |
| WO2020045753A1 (en) * | 2017-10-11 | 2020-03-05 | 주식회사 산타 | System and method for providing interworking service between voice extraction and machine translation of video content by using cloud service |
| KR20210057015A (en) | 2018-09-20 | 2021-05-20 | 도레이 카부시키가이샤 | Thermoplastic polyester resin composition and molded article |
| KR20200076420A (en) * | 2018-12-19 | 2020-06-29 | 주식회사 딕토 | Server for matching transcription work and method thereof |
| KR20220111825A (en) * | 2021-02-02 | 2022-08-10 | 주식회사 휴텍씨 | System for providing translation services based on distribution model |
| KR20220111801A (en) * | 2021-02-02 | 2022-08-10 | 주식회사 휴텍씨 | System for providing interpretation services based on distribution model |
| KR102306344B1 (en) * | 2021-03-17 | 2021-09-28 | 남지원 | Transformer Translation System for Deep Learning Using Triple Sentence Pair |
| WO2022196956A1 (en) * | 2021-03-17 | 2022-09-22 | 주식회사 인사이트베슬 | Deep-learning transformer translation system using triple corpus |
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| KR101751898B1 (en) | 2017-06-29 |
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