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このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/8495
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| タイトル: | Reordering Phrase-based machine translation over chunks |
| 著者: | Nguyen, Vinh Van
Nguyen, Thai Phuong
Shimazu, Akira
Nguyen, Minh Le |
| 発行日: | 2008-07 |
| 出版者: | Institute of Electrical and Electronics Engineers (IEEE) |
| 誌名: | IEEE International Conference on Research, Innovation and Vision for the Future, 2008. RIVF 2008. |
| 開始ページ: | 114 |
| 終了ページ: | 119 |
| DOI: | 10.1109/RIVF.2008.4586342 |
| 抄録: | The paper presents a new method for reordering in phrase based statistical machine translation (PBMT). Our method is based on previous chunk-level reordering methods for PBMT. First, we parse the source language sentence to a chunk tree, according to the method developed by [16]. Second, we apply a series of transformation rules which are learnt automatically from the parallel corpus to the chunk tree over chunk level. Finally, we integrate a global reordering model directly in a decoder as a graph of phrases, and solve the overlapping phrase and chunk problem. The experimental results with English-Vietnamese pairs show that our method outperforms the baseline PBMT in both accuracy and speed. |
| Rights: | Copyright (C) 2008 IEEE. Reprinted from IEEE International Conference on Research, Innovation and Vision for the Future, 2008. RIVF 2008., 114-119. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of JAIST's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. |
| URI: | http://hdl.handle.net/10119/8495 |
| 資料タイプ: | publisher |
| 出現コレクション: | b11-1. 会議発表論文・発表資料 (Conference Papers)
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このアイテムのファイル:
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| A13248.pdf | | 2688Kb | Adobe PDF | 見る/開く |
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