KFU. Card publication. Automated text translation

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

AUTOMATED TEXT TRANSLATION

Form of presentation

Articles in international journals and collections

Year of publication

2021

Язык

русский

Authors, employees of KFU

Galiullin Lenar Ayratovich, author

Khuzyatov Shafik Shaekhovich, author

Bibliographic description in the original language

Khuzyatov, S.S., Galiullin, L.A. Automated text translation. International Journal of Criminology and Sociology, 2020, 9, str. 2320–2324

Annotation

The paper analyzed the problem of accessibility of content in other languages, it was found that many content may not be translated into the native language of users who want to access it, but at the same time there are many who want to help other users with this problem. The solution is a special information system that allows you to easily register and create your own translation, in which other users can participate, or join another already created one and help. As a result, the interested user can easily download the translation result and use it at his own discretion. The analysis of business processes for the creation and translation of the text was carried out. Based on this analysis, requirements for a future solution were developed. Business requirements were also identified. Among other things, a system use case model was developed and use case specifications were described. Lists with functional and non-functional requirements have also been developed. The functional model of the system was shown - algorithms: authorization, registration, password recovery, creating a new translation, generating a file with a new translation, generating a list of translations, managing users, viewing a translation, editing a translation text, checking the correctness of a translation, and moderating translations. A class diagram was developed, where you can see the main entities of the system and their relationships. A sequence diagram was also developed. The architecture of the information system was described. The system was implemented using the React.JS library and the Spring framework. The main processes of the system users were also described.

Keywords

Text, translation, system, language, automation

The name of the journal

International Journal of Criminology and Sociology

URL

https://www.scopus.com/record/display.uri?eid=2-s2.0-85099014901&origin=resultslist&sort=plf-f

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=261301&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Galiullin Lenar Ayratovich	ru_RU
dc.contributor.author	Khuzyatov Shafik Shaekhovich	ru_RU
dc.date.accessioned	2021-01-01T00:00:00Z	ru_RU
dc.date.available	2021-01-01T00:00:00Z	ru_RU
dc.date.issued	2021	ru_RU
dc.identifier.citation	Khuzyatov, S.S., Galiullin, L.A. Automated text translation. International Journal of Criminology and Sociology, 2020, 9, стр. 2320–2324	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=261301&p_lang=2	ru_RU
dc.description.abstract	International Journal of Criminology and Sociology	ru_RU
dc.description.abstract	The paper analyzed the problem of accessibility of content in other languages, it was found that many content may not be translated into the native language of users who want to access it, but at the same time there are many who want to help other users with this problem. The solution is a special information system that allows you to easily register and create your own translation, in which other users can participate, or join another already created one and help. As a result, the interested user can easily download the translation result and use it at his own discretion. The analysis of business processes for the creation and translation of the text was carried out. Based on this analysis, requirements for a future solution were developed. Business requirements were also identified. Among other things, a system use case model was developed and use case specifications were described. Lists with functional and non-functional requirements have also been developed. The functional model of the system was shown - algorithms: authorization, registration, password recovery, creating a new translation, generating a file with a new translation, generating a list of translations, managing users, viewing a translation, editing a translation text, checking the correctness of a translation, and moderating translations. A class diagram was developed, where you can see the main entities of the system and their relationships. A sequence diagram was also developed. The architecture of the information system was described. The system was implemented using the React.JS library and the Spring framework. The main processes of the system users were also described.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Text	ru_RU
dc.subject	translation	ru_RU
dc.subject	system	ru_RU
dc.subject	language	ru_RU
dc.subject	automation	ru_RU
dc.title	Automated text translation	ru_RU
dc.type	Articles in international journals and collections	ru_RU