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Science / Artificial intelligence / Statistical machine translation / Statistical natural language processing / Computer-assisted translation / Bitext word alignment / Artificial intelligence applications / BLEU / Generative model / Machine translation / Natural language processing / Computational linguistics


Why Generative Phrase Models Underperform Surface Heuristics John DeNero, Dan Gillick, James Zhang, Dan Klein Department of Electrical Engineering and Computer Science University of California, Berkeley Berkeley, CA 9470
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Document Date: 2006-05-05 19:20:30

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File Size: 388,33 KB

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City

New York City / /

Company

IBM / /

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Facility

Computer Science University of California / /

IndustryTerm

expectation maximization algorithm / e-step / tion maximization algorithm / heuristic extraction algorithm / /

Organization

Dan Klein Department of Electrical Engineering / USC Information Sciences Institute / Electrical Engineering and Computer Science University / University of California / Berkeley / Association for Computational Linguistics / /

Person

William Wong / A. Della Pietra / Christoph Tillmann / Richard Zens / Daniel Marcu / J. Della Pietra / Robert L. Mercer / Philipp Koehn / Vincent J. Della / Peter F. Brown / Stephen A. Della / Andreas Stolcke / Hermann Ney / Franz Josef Och / Dan Klein / Dan Gillick / James Zhang / /

Position

joint model in Marcu / phrase-based / joint probability model for statistical machine translation / similar model / phrase-based generative model / Pharaoh / generative phrase-based model analogous / /

PublishedMedium

Computational Linguistics / /

Technology

expectaSentence Length tion maximization algorithm / machine translation system / machine translation / expectation maximization algorithm / EM algorithm / heuristic extraction algorithm / /

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