ILLC-UvA translation system for EMNLP-WMT 2011

  • Authors:
  • Maxim Khalilov;Khalil Sima'an

  • Affiliations:
  • University of Amsterdam, GE Amsterdam, The Netherlands;University of Amsterdam, GE Amsterdam, The Netherlands

  • Venue:
  • WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
  • Year:
  • 2011

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Abstract

In this paper we describe the Institute for Logic, Language and Computation (University of Amsterdam) phrase-based statistical machine translation system for English-to-German translation proposed within the EMNLP-WMT 2011 shared task. The main novelty of the submitted system is a syntax-driven pre-translation reordering algorithm implemented as source string permutation via transfer of the source-side syntax tree.