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COLING
2010

Nonparametric Word Segmentation for Machine Translation

8 years 6 months ago
Nonparametric Word Segmentation for Machine Translation
We present an unsupervised word segmentation model for machine translation. The model uses existing monolingual segmentation techniques and models the joint distribution over source sentence segmentations and alignments to the target sentence. During inference, the monolingual segmentation model and the bilingual word alignment model are coupled so that the alignments to the target sentence guide the segmentation of the source sentence. The experiments show improvements on Arabic-English and ChineseEnglish translation tasks.
ThuyLinh Nguyen, Stephan Vogel, Noah A. Smith
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2010
Where COLING
Authors ThuyLinh Nguyen, Stephan Vogel, Noah A. Smith
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