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EMNLP
2007

Getting the Structure Right for Word Alignment: LEAF

9 years 2 months ago
Getting the Structure Right for Word Alignment: LEAF
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 show that it is effective when trained using both unsupervised and semi-supervised training methods.
Alexander Fraser, Daniel Marcu
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where EMNLP
Authors Alexander Fraser, Daniel Marcu
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