A syntax-driven bracketing model for phrase-based translation

  • Authors:
  • Deyi Xiong;Min Zhang;Aiti Aw;Haizhou Li

  • Affiliations:
  • Human Language Technology, Institute for Infocomm Research, South Connexis, Singapore;Human Language Technology, Institute for Infocomm Research, South Connexis, Singapore;Human Language Technology, Institute for Infocomm Research, South Connexis, Singapore;Human Language Technology, Institute for Infocomm Research, South Connexis, Singapore

  • Venue:
  • ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
  • Year:
  • 2009

Quantified Score

Hi-index 0.01

Visualization

Abstract

Syntactic analysis influences the way in which the source sentence is translated. Previous efforts add syntactic constraints to phrase-based translation by directly rewarding/punishing a hypothesis whenever it matches/violates source-side constituents. We present a new model that automatically learns syntactic constraints, including but not limited to constituent matching/violation, from training corpus. The model brackets a source phrase as to whether it satisfies the learnt syntactic constraints. The bracketed phrases are then translated as a whole unit by the decoder. Experimental results and analysis show that the new model outperforms other previous methods and achieves a substantial improvement over the baseline which is not syntactically informed.