2011 Fiscal Year Final Research Report
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 |
Section | 一般 |
Research Field |
Intelligent informatics
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Research Institution | University of Tsukuba |
Principal Investigator |
YAMAMOTO Mikio 筑波大学, システム情報系, 教授 (40210562)
|
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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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 |
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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