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Machine translation / Linguistics / Formal languages / Applied linguistics / Computational linguistics / Statistical machine translation / Synchronous context-free grammar / Parsing / Language model / Natural language processing / Statistical natural language processing / Science


Simple and Effective Approach for Consistent Training of Hierarchical Phrase-based Translation Models Stephan Peitz1 and David Vilar2 and Hermann Ney1 1 Lehrstuhl f¨ur Informatik 6 2
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Denver / Gothenburg / Statistical Phrase / Ann Arbor / Hierarchical Phrase / Sapporo / Edmonton / Yorktown / Uppsala / Heidelberg / Portland / Atlanta / Cambridge / /

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IBM / Prague Bulletin / Parsing Technologies / Informatik 6 2 Computer Science Department Pixformance GmbH / /

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Americas / /

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Germany / Sweden / Japan / United States / /

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terminal X / terminal X. With / Harvard University / /

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cube pruning algorithm / hierarchical search / search space / /

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Assoc. for Computational Linguistics / Harvard University / European Chapter / Thomas J. Watson Research Center / Association for Machine Translation / RWTH Aachen University / European Union / Association for Computational Linguistics / /

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David Chiang / Salim Roukos / Chris Dyer / Jonathan H. Clark / Matthew Snover / Reinerd Kneser / Jan-Thorsten Peter / Bonnie Dorr / Richard Schwartz / Daniel Stein / Hermann Ney / John Makhoul / Alon Lavie / Thomas J. Watson / Franz Josef Och / Markus Freitag / Liang Huang / Luisa Bentivogli / Linnea Micciulla / Jan Nieheus / Todd Ward / Noah A. Smith / Victor Chahuneau / David Vilar / Matthias Huck / Joern Wuebker / Stephan Peitz / Stanley F. Chen / Joshuo Goodman / Arne Mauser / Sebastian St¨uker / Andreas Stolcke / /

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Mauser / /

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Alberta / Oregon / New York / Michigan / Georgia / Massachusetts / Colorado / /

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the Shuffled News / The Prague Bulletin / Computational Linguistics / /

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cube pruning algorithm / machine translation / generalized CYK algorithm / machine translation system / recombination / CYK+ algorithm / /

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