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Computational linguistics / Machine translation / Statistical natural language processing / Evaluation of machine translation / Statistical machine translation / BLEU / N-gram / Code / Phrase / Linguistics / Science / Natural language processing


Faster Beam-Search Decoding for Phrasal Statistical Machine Translation* Robert C. Moore Chris Quirk Microsoft Research
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Document Date: 2009-07-21 20:53:56

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City

Washington / DC / Philadelphia / Sapporo / Edmonton / Copenhagen / Sydney / /

Company

IBM / Della Pietra S.A. / /

Continent

Americas / /

Country

Japan / United States / Canada / Australia / Denmark / /

Currency

RON / /

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Facility

University of Southern California / USC Information Sciences Institute / /

IndustryTerm

baseline algorithm / score vs. search space / beam-search pruning / beam search / search space / hill-climbing search / beam search algorithm / /

MarketIndex

set 500 / /

Organization

USC Information Sciences Institute / University of Southern California / Los Angeles / Association for Machine Translation / North American Chapter / Association for Computational Linguistics / /

Person

Ulrich Germann / Robert C. Moore Chris Quirk / /

Position

market leader in commercial RBMT / baseline Pharaoh / original Pharaoh / Abstract Pharaoh / Pharaoh / Pharaoh The Pharaoh / sentence Pharaoh / /

Product

Koehn / /

ProgrammingLanguage

Perl / /

ProvinceOrState

Alberta / Pennsylvania / Southern California / California / /

PublishedMedium

Computational Linguistics / /

Region

Southern California / /

Technology

Pharaoh decoding algorithm / modified algorithms / three algorithms / Pharaoh beam search algorithm / baseline algorithm / Machine Translation / all three algorithms / baseline Pharaoh algorithm / Perl / Pharaoh baseline algorithm / Pharaoh algorithm / /

URL

http /

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