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Bioinformatics / Statistical natural language processing / Stochastic context-free grammar / NP-complete / Vehicle Identification Number / Theoretical computer science / Applied mathematics / Science


Scalable Inference and Training of Context-Rich Syntactic Translation Models Michel Galley*, Jonathan Graehl†, Kevin Knight†‡, Daniel Marcu†‡, Steve DeNeefe†, Wei Wang‡ and Ignacio Thayer† † *Columbia U
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Document Date: 2010-06-15 02:54:15

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New York / Sydney / Marina del Rey / /

Company

Language Weaver Inc. / Penn Treebank / Poutsma / /

Country

France / /

Currency

USD / /

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Facility

Computer Science Information Sciences Institute / *Columbia University University of Southern California / store ORnodes / /

IndustryTerm

derivation building algorithm / linear-time algorithm / earlier syntax-based systems / art systems / beam search / mature technology / /

Organization

NP PP / Defense Advanced Research Projects Agency / OR NP / National Park Service / VP NP / University of Southern California / IN NNP / Computer Science Information Sciences Institute / Columbia University University / /

Person

Daniel Marcu / Steve DeNeefe / Jonathan Graehl / Ignacio Thayer / Wei Wang / Kevin Knight / /

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Position

VP / VP x2 / VP / x2 / when-NP-are-VP / x1 /

Product

Bayes / AlTemp system / AlTemp / /

ProvinceOrState

Montana / Southern California / New York / California / /

PublishedMedium

Computational Linguistics / /

Region

Southern California / /

Technology

2.3 Algorithm / machine translation / GHKM algorithm / quite mature technology / linear-time algorithm / derivation building algorithm / /

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