Improved Reordering for Phrase-Based Translation using Sparse Features

@inproceedings{Cherry2013ImprovedRF,
  title={Improved Reordering for Phrase-Based Translation using Sparse Features},
  author={Colin Cherry},
  booktitle={HLT-NAACL},
  year={2013}
}
There have been many recent investigations into methods to tune SMT systems using large numbers of sparse features. However, there have not been nearly so many examples of helpful sparse features, especially for phrasebased systems. We use sparse features to address reordering, which is often considered a weak point of phrase-based translation. Using a hierarchical reordering model as our baseline, we show that simple features coupling phrase orientation to frequent words or wordclusters can… CONTINUE READING
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  • Using a hierarchical reordering model as our baseline, we show that simple features coupling phrase orientation to frequent words or wordclusters can improve translation quality, with boosts of up to 1.2 BLEU points in ChineseEnglish and 1.8 in Arabic-English.

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