DESIGN OF TRANSLATION AMBIGUITY ELIMINATION METHOD BASED ON RECURRENT NEURAL NETWORKS
The ambiguity of language inevitably leads to the ambiguity of translation, and how to deal with translation ambiguity has become a persistent focus of attention for both human translation and machine translation. Traditional machine translation mainly adjusts the threshold of ambiguity similarity t...
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| Format: | Article |
| Language: | English |
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Zibeline International
2024-07-01
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| Series: | Acta Informatica Malaysia |
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| Online Access: | https://actainformaticamalaysia.com/archives/AIM/2aim2024/2aim2024-64-68.pdf |
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| author | Jianzhou Cui |
| author_facet | Jianzhou Cui |
| author_sort | Jianzhou Cui |
| collection | DOAJ |
| description | The ambiguity of language inevitably leads to the ambiguity of translation, and how to deal with translation ambiguity has become a persistent focus of attention for both human translation and machine translation. Traditional machine translation mainly adjusts the threshold of ambiguity similarity to deal with translation ambiguity, but the effect is not ideal. The machine translation model based on recurrent neural networks provides us with a new perspective. In this new perspective, the candidate set calculates the similarity, obtains the source language and target language of the reference translation, and then nested in the neural network to complete the ambiguity elimination in language translation. This translation model based on recurrent neural networks effectively eliminates the gradient imbalance problem generated during the translation ambiguity process. Comparative experimental results also show that with a reasonable setting of the similarity threshold, the advantages of the new method are more evident and can better improve the translation results. |
| format | Article |
| id | doaj-art-52f73662ba224e4b8ddd865af5300586 |
| institution | Kabale University |
| issn | 2521-0874 2521-0505 |
| language | English |
| publishDate | 2024-07-01 |
| publisher | Zibeline International |
| record_format | Article |
| series | Acta Informatica Malaysia |
| spelling | doaj-art-52f73662ba224e4b8ddd865af53005862025-02-05T07:26:37ZengZibeline InternationalActa Informatica Malaysia2521-08742521-05052024-07-0182646810.26480/aim.02.2024.64.68DESIGN OF TRANSLATION AMBIGUITY ELIMINATION METHOD BASED ON RECURRENT NEURAL NETWORKSJianzhou Cui0Wuxi City College of Vocational Technology, Wuxi, Jiangsu, 214153, ChinaThe ambiguity of language inevitably leads to the ambiguity of translation, and how to deal with translation ambiguity has become a persistent focus of attention for both human translation and machine translation. Traditional machine translation mainly adjusts the threshold of ambiguity similarity to deal with translation ambiguity, but the effect is not ideal. The machine translation model based on recurrent neural networks provides us with a new perspective. In this new perspective, the candidate set calculates the similarity, obtains the source language and target language of the reference translation, and then nested in the neural network to complete the ambiguity elimination in language translation. This translation model based on recurrent neural networks effectively eliminates the gradient imbalance problem generated during the translation ambiguity process. Comparative experimental results also show that with a reasonable setting of the similarity threshold, the advantages of the new method are more evident and can better improve the translation results.https://actainformaticamalaysia.com/archives/AIM/2aim2024/2aim2024-64-68.pdftranslation ambiguityneural networksmachine translationtranslation modellanguage ambiguity |
| spellingShingle | Jianzhou Cui DESIGN OF TRANSLATION AMBIGUITY ELIMINATION METHOD BASED ON RECURRENT NEURAL NETWORKS Acta Informatica Malaysia translation ambiguity neural networks machine translation translation model language ambiguity |
| title | DESIGN OF TRANSLATION AMBIGUITY ELIMINATION METHOD BASED ON RECURRENT NEURAL NETWORKS |
| title_full | DESIGN OF TRANSLATION AMBIGUITY ELIMINATION METHOD BASED ON RECURRENT NEURAL NETWORKS |
| title_fullStr | DESIGN OF TRANSLATION AMBIGUITY ELIMINATION METHOD BASED ON RECURRENT NEURAL NETWORKS |
| title_full_unstemmed | DESIGN OF TRANSLATION AMBIGUITY ELIMINATION METHOD BASED ON RECURRENT NEURAL NETWORKS |
| title_short | DESIGN OF TRANSLATION AMBIGUITY ELIMINATION METHOD BASED ON RECURRENT NEURAL NETWORKS |
| title_sort | design of translation ambiguity elimination method based on recurrent neural networks |
| topic | translation ambiguity neural networks machine translation translation model language ambiguity |
| url | https://actainformaticamalaysia.com/archives/AIM/2aim2024/2aim2024-64-68.pdf |
| work_keys_str_mv | AT jianzhoucui designoftranslationambiguityeliminationmethodbasedonrecurrentneuralnetworks |