Statistical phrase-based models for interactive computer-assisted translation

  • Authors:
  • Jesús Tomás;Francisco Casacuberta

  • Affiliations:
  • Universidad Politécnica de Valencia, Valencia, Spain;Universidad Politécnica de Valencia, Valencia, Spain

  • Venue:
  • COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
  • Year:
  • 2006

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Abstract

Obtaining high-quality machine translations is still a long way off. A post-editing phase is required to improve the output of a machine translation system. An alternative is the so called computer-assisted translation. In this framework, a human translator interacts with the system in order to obtain high-quality translations. A statistical phrase-based approach to computer-assisted translation is described in this article. A new decoder algorithm for interactive search is also presented, that combines monotone and non-monotone search. The system has been assessed in the Trans Type-2 project for the translation of several printer manuals, from (to) English to (from) Spanish, German and French.