Improving mid-range reordering using templates of factors

  • Authors:
  • Hieu Hoang;Philipp Koehn

  • Affiliations:
  • University of Edinburgh;University of Edinburgh

  • Venue:
  • EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
  • Year:
  • 2009

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Abstract

We extend the factored translation model (Koehn and Hoang, 2007) to allow translations of longer phrases composed of factors such as POS and morphological tags to act as templates for the selection and reordering of surface phrase translation. We also reintroduce the use of alignment information within the decoder, which forms an integral part of decoding in the Alignment Template System (Och, 2002), into phrase-based decoding. Results show an increase in translation performance of up to 1.0% bleu for out-of-domain French-English translation. We also show how this method compares and relates to lexicalized reordering.