Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation

  title={Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation},
  author={Deyi Xiong and Qun Liu and Shouxun Lin},
We propose a novel reordering model for phrase-based statistical machine translation (SMT) that uses a maximum entropy (MaxEnt) model to predicate reorderings of neighbor blocks (phrase pairs). The model provides content-dependent, hierarchical phrasal reordering with generalization based on features automatically learned from a real-world bitext. We present an algorithm to extract all reordering events of neighbor blocks from bilingual data. In our experiments on Chineseto-English translation… CONTINUE READING
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