The Hiero Machine Translation System: Extensions, Evaluation, and Analysis

David Chiang, Adam Lopez, Nitin Madnani, Christof Monz, Philip Resnik, Michael Subotin

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

Abstract

Hierarchical organization is a well known property of language, and yet the notion of hierarchical structure has been largely absent from the best performing machine translation systems in recent community-wide evaluations. In this paper, we discuss a new hierarchical phrase-based statistical machine translation system (Chiang, 2005), presenting recent extensions to the original proposal, new evaluation results in a community-wide evaluation, and a novel technique for fine-grained comparative analysis of MT systems.
Original languageEnglish
Title of host publicationProceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing
Place of PublicationVancouver, British Columbia, Canada
PublisherAssociation for Computational Linguistics
Pages779-786
Number of pages8
Publication statusPublished - 1 Oct 2005

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