Date of Original Version

8-2010

Type

Conference Proceeding

Journal Title

Proceedings of the International Conference on Computational Linguistics (COLING)

First Page

815

Last Page

823

Rights Management

Copyright 2010 ACL

Abstract or Description

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.

Creative Commons License

Creative Commons Attribution-Noncommercial-Share Alike 3.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

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Published In

Proceedings of the International Conference on Computational Linguistics (COLING), 815-823.