A comparative study of target dependency structures for statistical machine translation

  • Authors:
  • Xianchao Wu;Katsuhito Sudoh;Kevin Duh;Hajime Tsukada;Masaaki Nagata

  • Affiliations:
  • NTT Corporation, Soraku-gun Kyoto, Japan;NTT Corporation, Soraku-gun Kyoto, Japan;NTT Corporation, Soraku-gun Kyoto, Japan;NTT Corporation, Soraku-gun Kyoto, Japan;NTT Corporation, Soraku-gun Kyoto, Japan

  • 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 a comparative study of target dependency structures yielded by several state-of-the-art linguistic parsers. Our approach is to measure the impact of these non-isomorphic dependency structures to be used for string-to-dependency translation. Besides using traditional dependency parsers, we also use the dependency structures transformed from PCFG trees and predicate-argument structures (PASs) which are generated by an HPSG parser and a CCG parser. The experiments on Chinese-to-English translation show that the HPSG parser's PASs achieved the best dependency and translation accuracies.