Phrase reordering models integrating words, phrases and language models for statistical machine translation
| Project/Area Number |
21300048
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | University of Tsukuba |
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Principal Investigator |
YAMAMOTO Mikio 筑波大学, システム情報系, 教授 (40210562)
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| Co-Investigator(Kenkyū-buntansha) |
INUI Takashi 筑波大学, システム情報系, 助教 (60397031)
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| Project Period (FY) |
2009 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥18,460,000 (Direct Cost: ¥14,200,000、Indirect Cost: ¥4,260,000)
Fiscal Year 2011: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2010: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2009: ¥9,620,000 (Direct Cost: ¥7,400,000、Indirect Cost: ¥2,220,000)
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| Keywords | 機械翻訳 / 統計的機械翻訳 / 翻訳モデル / 並び替えモデル / 階層フレーズ / 多言語処理 / 人工知能 / 自然言語処理 / 並び変えモデル / 言語モデル |
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| Research Abstract |
In this project, we developed an extraction method for accurate and long-distance phrase reordering rules that are lexicalized by function words such as prepositions. Since patterns of function words determine the structure of a sentence, the rules can correctly reorder phrases on the basis of the structure. In Japanese-English translation experiments, we improved the performance of our translation system using the proposed rule set.
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Report
(4 results)
Research Products
(15 results)
