Hierarchical chunk-to-string translation

  • Authors:
  • Yang Feng;Dongdong Zhang;Mu Li;Ming Zhou;Qun Liu

  • Affiliations:
  • University of Sheffield, Sheffield, UK;Microsoft Research Asia;Microsoft Research Asia;Microsoft Research Asia;Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences

  • Venue:
  • ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
  • Year:
  • 2012

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Abstract

We present a hierarchical chunk-to-string translation model, which can be seen as a compromise between the hierarchical phrase-based model and the tree-to-string model, to combine the merits of the two models. With the help of shallow parsing, our model learns rules consisting of words and chunks and meanwhile introduce syntax cohesion. Under the weighed synchronous context-free grammar defined by these rules, our model searches for the best translation derivation and yields target translation simultaneously. Our experiments show that our model significantly outperforms the hierarchical phrase-based model and the tree-to-string model on English-Chinese Translation tasks.