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