Improved HMM Alignment Models for Languages with Scarce Resources

Adam Lopez, Philip Resnik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

We introduce improvements to statistical word alignment based on the Hidden Markov Model. One improvement incorporates syntactic knowledge. Results on the workshop data show that alignment performance exceeds that of a state-of-the art system based on more complex models, resulting in over a 5.5% absolute reduction in error on Romanian-English.
Original languageEnglish
Title of host publicationProceedings of the ACL Workshop on Building and Using Parallel Texts
Place of PublicationAnn Arbor, Michigan
PublisherAssociation for Computational Linguistics
Pages83-86
Number of pages4
Publication statusPublished - 1 Jun 2005

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