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Bootstrapping word alignment via word packing

Ma, Yanjun and Stroppa, Nicolas and Way, Andy (2007) Bootstrapping word alignment via word packing. In: ACL 2007 - Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics, 23-30 June 2007, Prague, Czech Republic.

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Abstract

We introduce a simple method to pack words for statistical word alignment. Our goal is to simplify the task of automatic word alignment by packing several consecutive words together when we believe they correspond to a single word in the opposite language. This is done using the word aligner itself, i.e. by bootstrapping on its output. We evaluate the performance of our approach on a Chinese-to-English machine translation task, and report a 12.2% relative increase in BLEU score over a state-of-the art phrase-based SMT system.

Item Type:	Conference or Workshop Item (Paper)
Event Type:	Conference
Refereed:	Yes
Subjects:	Computer Science > Machine translating
DCU Faculties and Centres:	Research Initiatives and Centres > National Centre for Language Technology (NCLT) DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:	Association for Computational Linguistics
Official URL:	http://ufal.mff.cuni.cz/acl2007/
Copyright Information:	© 2007 Association for Computational Linguistics
Use License:	This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:	Science Foundation Ireland, SFI OS/IN/1732
ID Code:	563
Deposited On:	15 Sep 2008 12:30 by DORAS Administrator. Last Modified 27 Apr 2010 14:46

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