Hierarchical phrase-based machine translation with word-based reordering model

  • Authors:
  • Katsuhiko Hayashi;Hajime Tsukada;Katsuhito Sudoh;Kevin Duh;Seiichi Yamamoto

  • Affiliations:
  • Doshisha University;NTT Communication Science Laboratories;NTT Communication Science Laboratories;NTT Communication Science Laboratories;Doshisha University

  • Venue:
  • COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
  • Year:
  • 2010

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Abstract

Hierarchical phrase-based machine translation can capture global reordering with synchronous context-free grammar, but has little ability to evaluate the correctness of word orderings during decoding. We propose a method to integrate word-based reordering model into hierarchical phrase-based machine translation to overcome this weakness. Our approach extends the synchronous context-free grammar rules of hierarchical phrase-based model to include reordered source strings, allowing efficient calculation of reordering model scores during decoding. Our experimental results on Japanese-to-English basic travel expression corpus showed that the BLEU scores obtained by our proposed system were better than those obtained by a standard hierarchical phrase-based machine translation system.