Research on Literary Translation Based on the Improved Optimization Model
Machine translation is widely used in people’s daily lives and production, occupying an important position. In order to improve the accuracy of the literary intelligent translation, research on literary intelligent translation is based on the improved optimization model. Based on semantic features,...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2022/1329632 |
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| _version_ | 1832550799256846336 |
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| author | Hongjian Liu |
| author_facet | Hongjian Liu |
| author_sort | Hongjian Liu |
| collection | DOAJ |
| description | Machine translation is widely used in people’s daily lives and production, occupying an important position. In order to improve the accuracy of the literary intelligent translation, research on literary intelligent translation is based on the improved optimization model. Based on semantic features, the semantic ontology optimization model including an encoder and a decoder is created by machine translation. In order to improve the accuracy of the intelligent translation literature of the semantic ontology optimization model, the conversion layer, including the forward neural network layer, residual connection layer, and normalization layer, is added between the encoder and decoder of the semantic ontology optimization model. An improved optimization model is established, and syntax conversion is realized by using the conversion layer, which completes the intelligent translation of literature. It is found that the BLEU value of using this method to translate literary sentences can reach 17.23 when the number of training steps is set as 8000, and the training time is low. The translation result has a low correlation misalignment rate, which can meet the user’s literary translation needs. |
| format | Article |
| id | doaj-art-aee98c43fe7f4e8694a8144e8d8badf7 |
| institution | Kabale University |
| issn | 1607-887X |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-aee98c43fe7f4e8694a8144e8d8badf72025-02-03T06:05:49ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/1329632Research on Literary Translation Based on the Improved Optimization ModelHongjian Liu0School of English Language and CultureMachine translation is widely used in people’s daily lives and production, occupying an important position. In order to improve the accuracy of the literary intelligent translation, research on literary intelligent translation is based on the improved optimization model. Based on semantic features, the semantic ontology optimization model including an encoder and a decoder is created by machine translation. In order to improve the accuracy of the intelligent translation literature of the semantic ontology optimization model, the conversion layer, including the forward neural network layer, residual connection layer, and normalization layer, is added between the encoder and decoder of the semantic ontology optimization model. An improved optimization model is established, and syntax conversion is realized by using the conversion layer, which completes the intelligent translation of literature. It is found that the BLEU value of using this method to translate literary sentences can reach 17.23 when the number of training steps is set as 8000, and the training time is low. The translation result has a low correlation misalignment rate, which can meet the user’s literary translation needs.http://dx.doi.org/10.1155/2022/1329632 |
| spellingShingle | Hongjian Liu Research on Literary Translation Based on the Improved Optimization Model Discrete Dynamics in Nature and Society |
| title | Research on Literary Translation Based on the Improved Optimization Model |
| title_full | Research on Literary Translation Based on the Improved Optimization Model |
| title_fullStr | Research on Literary Translation Based on the Improved Optimization Model |
| title_full_unstemmed | Research on Literary Translation Based on the Improved Optimization Model |
| title_short | Research on Literary Translation Based on the Improved Optimization Model |
| title_sort | research on literary translation based on the improved optimization model |
| url | http://dx.doi.org/10.1155/2022/1329632 |
| work_keys_str_mv | AT hongjianliu researchonliterarytranslationbasedontheimprovedoptimizationmodel |