Dependency-based Pre-ordering For English-Vietnamese Statistical Machine Translation
Reordering is a major challenge in machine translation (MT) between two languages with significant differences in word order. In this paper, we present an approach as pre-processing step based on a dependency parser in phrase-based statistical machine translation (SMT) to learn automatic and manual...
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oai:112.137.131.14:VNU_123-629592018-10-12T03:36:33Z Dependency-based Pre-ordering For English-Vietnamese Statistical Machine Translation Tran, Hong Viet Nguyen, Van Vinh Vu, Thuong Huyen Nguyen, Le Minh Natural Language Processing Machine Translation Phrase-based Statistical Machine Translation Reordering is a major challenge in machine translation (MT) between two languages with significant differences in word order. In this paper, we present an approach as pre-processing step based on a dependency parser in phrase-based statistical machine translation (SMT) to learn automatic and manual reordering rules from English to Vietnamese. The dependency parse trees and transformation rules are used to reorder the source sentences and applied for systems translating from English to Vietnamese. We evaluated our approach on English-Vietnamese machine translation tasks, and showed that it outperforms the baseline phrase-based SMT system. 2018-10-12T03:35:05Z 2018-10-12T03:35:05Z 2018 Article Tran, H.V. (2018). Dependency-based Pre-ordering For English-Vietnamese Statistical Machine Translation. VNU Journal of Science: Comp. Science & Com. Eng., 33(2), 14-27. 2588-1086 http://repository.vnu.edu.vn/handle/VNU_123/62959 https://doi.org/10.25073/2588-1086/vnucsce.164 en VNU Journal of Science: Comp. Science & Com. Eng.; application/pdf H. : ĐHQGHN |
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Natural Language Processing Machine Translation Phrase-based Statistical Machine Translation |
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Natural Language Processing Machine Translation Phrase-based Statistical Machine Translation Tran, Hong Viet Nguyen, Van Vinh Vu, Thuong Huyen Nguyen, Le Minh Dependency-based Pre-ordering For English-Vietnamese Statistical Machine Translation |
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Reordering is a major challenge in machine translation (MT) between two languages with significant differences in word order. In this paper, we present an approach as pre-processing step based on a dependency parser in phrase-based statistical machine translation (SMT) to learn automatic and manual reordering rules from English to Vietnamese. The dependency parse trees and transformation rules are used to reorder the source sentences and applied for systems translating from English to Vietnamese. We evaluated our approach on English-Vietnamese machine translation tasks, and showed that it outperforms the baseline phrase-based SMT system. |
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Article |
author |
Tran, Hong Viet Nguyen, Van Vinh Vu, Thuong Huyen Nguyen, Le Minh |
author_facet |
Tran, Hong Viet Nguyen, Van Vinh Vu, Thuong Huyen Nguyen, Le Minh |
author_sort |
Tran, Hong Viet |
title |
Dependency-based Pre-ordering For English-Vietnamese Statistical Machine Translation |
title_short |
Dependency-based Pre-ordering For English-Vietnamese Statistical Machine Translation |
title_full |
Dependency-based Pre-ordering For English-Vietnamese Statistical Machine Translation |
title_fullStr |
Dependency-based Pre-ordering For English-Vietnamese Statistical Machine Translation |
title_full_unstemmed |
Dependency-based Pre-ordering For English-Vietnamese Statistical Machine Translation |
title_sort |
dependency-based pre-ordering for english-vietnamese statistical machine translation |
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H. : ĐHQGHN |
publishDate |
2018 |
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http://repository.vnu.edu.vn/handle/VNU_123/62959 https://doi.org/10.25073/2588-1086/vnucsce.164 |
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1680966888871428096 |