Reordering with source language collocations

  • Authors:

  • Zhanyi Liu;Haifeng Wang;Hua Wu;Ting Liu;Sheng Li

  • Affiliations:

  • Harbin Institute of Technology, Harbin, China and Baidu Inc., Beijing, China;Baidu Inc., Beijing, China;Baidu Inc., Beijing, China;Harbin Institute of Technology, Harbin, China;Harbin Institute of Technology, Harbin, China

  • Venue:
  • HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper proposes a novel reordering model for statistical machine translation (SMT) by means of modeling the translation orders of the source language collocations. The model is learned from a word-aligned bilingual corpus where the collocated words in source sentences are automatically detected. During decoding, the model is employed to softly constrain the translation orders of the source language collocations, so as to constrain the translation orders of those source phrases containing these collocated words. The experimental results show that the proposed method significantly improves the translation quality, achieving the absolute improvements of 1.1~1.4 BLEU score over the baseline methods.