A Reordering Model Using a Source-Side Parse-Tree for Statistical Machine Translation

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概要

• 論文の詳細を見る

• This paper presents a reordering model using a source-side parse-tree for phrase-based statistical machine translation. The proposed model is an extension of IST-ITG (imposing source tree on inversion transduction grammar) constraints. In the proposed method, the target-side word order is obtained by rotating nodes of the source-side parse-tree. We modeled the node rotation, monotone or swap, using word alignments based on a training parallel corpus and source-side parse-trees. The model efficiently suppresses erroneous target word orderings, especially global orderings. Furthermore, the proposed method conducts a probabilistic evaluation of target word reorderings. In English-to-Japanese and English-to-Chinese translation experiments, the proposed method resulted in a 0.49-point improvement (29.31 to 29.80) and a 0.33-point improvement (18.60 to 18.93) in word BLEU-4 compared with IST-ITG constraints, respectively. This indicates the validity of the proposed reordering model.

• （社）電子情報通信学会の論文
• 2009-12-01

著者

• TOKUDA Keiichi

  Department of Computer Science and Engineering, Nagoya Institute of Technology

• YAMAMOTO Hirofumi

  National Institute of Information and Communications Technology

• SUMITA Eiichiro

  National Institute of Information and Communications Technology

• Sumita Eiichiro

  National Inst. Communications Technol. Kyoto‐fu Jpn

• HASHIMOTO Kei

  Department of Bioproductive Sciences, Utsunomiya University

• Hashimoto Kei

  Department Of Bioproductive Sciences Utsunomiya University

• Tokuda Keiichi

  Department Of Computer Science And Engineering Nagoya Institute Of Technology

• OKUMA Hideo

  National Institute of Information and Communications Technology

• Okuma Hideo

  National Institute Of Communications Technology

• Hashimoto Kei

  Department Of Computer Science And Engineering Nagoya Institute Of Technology

• Yamamoto Hirofumi

  Atr Spoken Language Translation Res. Lab. Kyoto‐fu Jpn

• Yamamoto Hirofumi

  National Inst. Information And Communications Technol. Kyoto‐fu Jpn

• HASHIMOTO Kei

  Department of Applied Biological Chemistry, Utsunomiya University

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