Head-driven hierarchical phrase-based translation

  • Authors:
  • Junhui Li;Zhaopeng Tu;Guodong Zhou;Josef van Genabith

  • Affiliations:
  • Dublin City University;Chinese Academy of Sciences;Soochow University, China;Dublin City University

  • Venue:
  • ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
  • Year:
  • 2012

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Abstract

This paper presents an extension of Chiang's hierarchical phrase-based (HPB) model, called Head-Driven HPB (HD-HPB), which incorporates head information in translation rules to better capture syntax-driven information, as well as improved reordering between any two neighboring non-terminals at any stage of a derivation to explore a larger reordering search space. Experiments on Chinese-English translation on four NIST MT test sets show that the HD-HPB model significantly outperforms Chiang's model with average gains of 1.91 points absolute in BLEU.