Word Reordering in Statistical Machine Translation with a POS-Based Distortion Model

  title={Word Reordering in Statistical Machine Translation with a POS-Based Distortion Model},
  author={Kay Rottmann},
In this paper we describe a word reordering strategy for statistical machine translation that reorders the source side based on Part of Speech (POS) information. Reordering rules are learned from the word aligned corpus. Reordering is integrated into the decoding process by constructing a lattice, which contains all word reorderings according to the reordering rules. Probabilities are assigned to the different reorderings. On this lattice monotone decoding is performed. This reordering strategy… CONTINUE READING
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