Getting the Structure Right for Word Alignment: LEAF

@inproceedings{Fraser2007GettingTS,
  title={Getting the Structure Right for Word Alignment: LEAF},
  author={Alexander M. Fraser and Daniel Marcu},
  booktitle={EMNLP-CoNLL},
  year={2007}
}
Word alignment is the problem of annotating parallel text with translational correspondence. Previous generative word alignment models have made structural assumptions such as the 1-to-1, 1-to-N, or phrase-based consecutive word assumptions, while previous discriminative models have either made such an assumption directly or used features derived from a generative model making one of these assumptions. We present a new generative alignment model which avoids these structural limitations, and… CONTINUE READING
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