Enhancing the quality of Machine Translation System Using Cross-Lingual Word Embedding Models = Nâng cao chất lượng của hệ thống dịch máy dựa trên các mô hình vector nhúng biểu diễn từ giữa hai ngôn ngữ. Luận văn ThS. Máy tính: 84801
In recent years, Machine Translation has shown promising results and received much interest of researchers. Two approaches that have been widely used for machine translation are Phrase-based Statistical Machine Translation (PBSMT) and Neural Machine Translation (NMT). During translation, both appro...
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| 格式: | Theses and Dissertations |
| 語言: | English |
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2019
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| 在線閱讀: | http://repository.vnu.edu.vn/handle/VNU_123/65766 |
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| 機構: | Vietnam National University, Hanoi |
| 語言: | English |
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