State-of-the-Art Word Reordering Approaches in Statistical Machine Translation : A Survey

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概要

• 論文の詳細を見る

• This paper surveys several state-of-the-art reordering techniques employed in Statistical Machine Translation systems. Reordering is understood as the word-order redistribution of the translated words. In original SMT systems, this different order is only modeled within the limits of translation units. Relying only in the reordering provided by translation units may not be good enough in most language pairs, which might require longer reorderings. Therefore, additional techniques may be deployed to face the reordering challenge. The Statistical Machine Translation community has been very active recently in developing reordering techniques. This paper gives a brief survey and classification of several well-known reordering approaches.

• （社）電子情報通信学会の論文
• 2009-11-01

著者

• Costa-jussa Marta

  Fundacio Barcelona Media

• FONOLLOSA Jose

  Fundacio Barcelona Media

関連論文

• State-of-the-Art Word Reordering Approaches in Statistical Machine Translation : A Survey

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