Phrase linguistic classification and generalization for improving statistical machine translation

  • Authors:
  • Adrià de Gispert

  • Affiliations:
  • Universitat Politècnica de Catalunya (UPC), Barcelona

  • Venue:
  • ACLstudent '05 Proceedings of the ACL Student Research Workshop
  • Year:
  • 2005

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Abstract

In this paper a method to incorporate linguistic information regarding single-word and compound verbs is proposed, as a first step towards an SMT model based on linguistically-classified phrases. By substituting these verb structures by the base form of the head verb, we achieve a better statistical word alignment performance, and are able to better estimate the translation model and generalize to unseen verb forms during translation. Preliminary experiments for the English - Spanish language pair are performed, and future research lines are detailed.