A Generative Adversarial Networks Based Approach for Literary Translation

This study aims to solve the problem of mistranslation due to the fact that literary intelligent translation only stays at the stage of text description and elaboration and lacks relevant facts. Therefore, this paper puts forward an improvement method of literary intelligent translation text based o...

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Main Author: Fangming Gong
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2023-01-01
Series:Tehnički Vjesnik
Subjects:
Online Access:https://hrcak.srce.hr/file/433809
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author Fangming Gong
author_facet Fangming Gong
author_sort Fangming Gong
collection DOAJ
description This study aims to solve the problem of mistranslation due to the fact that literary intelligent translation only stays at the stage of text description and elaboration and lacks relevant facts. Therefore, this paper puts forward an improvement method of literary intelligent translation text based on generation confrontation network. First, an adaptive literary intelligent translation mode is designed under the generation confrontation network, and then the data of literary intelligent translation text improvement is preprocessed, and the data mining of text improvement quality evaluation is carried out. According to the mining results, a literary intelligent translation text improvement quality evaluation model is constructed to evaluate the quality of literary intelligent translation text improvement. According to the quality results, this paper constructs the improvement model of literary intelligent translation text, designs the improvement process, and completes the research on the improvement method of literary intelligent translation text that generates confrontation network. The experimental results show that this method has better detection effect of mistranslation features, better stability of the improved method, accurate and reliable results, and can improve the literary literacy of students and teachers.
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spelling doaj.art-250b4a2299fe4cec890633bca211c1432024-04-15T18:26:35ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392023-01-0130392192910.17559/TV-20221222092039A Generative Adversarial Networks Based Approach for Literary TranslationFangming Gong0The College of Chinese Language and Literature, School of Foreign Languages, Hunan University, Lushan Gate, Lushan South Road, Yuelu District, Changsha City, Hunan Province, China, 410082This study aims to solve the problem of mistranslation due to the fact that literary intelligent translation only stays at the stage of text description and elaboration and lacks relevant facts. Therefore, this paper puts forward an improvement method of literary intelligent translation text based on generation confrontation network. First, an adaptive literary intelligent translation mode is designed under the generation confrontation network, and then the data of literary intelligent translation text improvement is preprocessed, and the data mining of text improvement quality evaluation is carried out. According to the mining results, a literary intelligent translation text improvement quality evaluation model is constructed to evaluate the quality of literary intelligent translation text improvement. According to the quality results, this paper constructs the improvement model of literary intelligent translation text, designs the improvement process, and completes the research on the improvement method of literary intelligent translation text that generates confrontation network. The experimental results show that this method has better detection effect of mistranslation features, better stability of the improved method, accurate and reliable results, and can improve the literary literacy of students and teachers.https://hrcak.srce.hr/file/433809data mininggenerate confrontation networkintelligent translation of literatureliterary literacytext improvement methods
spellingShingle Fangming Gong
A Generative Adversarial Networks Based Approach for Literary Translation
Tehnički Vjesnik
data mining
generate confrontation network
intelligent translation of literature
literary literacy
text improvement methods
title A Generative Adversarial Networks Based Approach for Literary Translation
title_full A Generative Adversarial Networks Based Approach for Literary Translation
title_fullStr A Generative Adversarial Networks Based Approach for Literary Translation
title_full_unstemmed A Generative Adversarial Networks Based Approach for Literary Translation
title_short A Generative Adversarial Networks Based Approach for Literary Translation
title_sort generative adversarial networks based approach for literary translation
topic data mining
generate confrontation network
intelligent translation of literature
literary literacy
text improvement methods
url https://hrcak.srce.hr/file/433809
work_keys_str_mv AT fangminggong agenerativeadversarialnetworksbasedapproachforliterarytranslation
AT fangminggong generativeadversarialnetworksbasedapproachforliterarytranslation