Exploiting Parallel Treebanks to Improve Phrase-Based Statistical Machine Translation

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by John Tinsley , Mary Hearne , Andy Way
Citations:14 - 6 self

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Constrained Word Alignment Models for Statistical Machine Translation – Yanjun Ma
3 Parallel Treebanks in Phrase-Based Statistical Machine Translation – John Tinsley, Mary Hearne, Andy Way
1 Lexical Syntax for Statistical Machine Translation – Hany Hassan - 2009
30 A survey of statistical machine translation – Adam Lopez - 2007
Lattice Rescoring Methods for Statistical Machine Translation – Graeme Blackwood
1 MACHINE TRANSLATION BY PATTERN MATCHING – Adam David Lopez - 2008
1 Comparing constituency and dependency representations for smt phrase-extraction,” in 15ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN ’08 – Mary Hearne, Sylwia Ozdowska, John Tinsley - 2008
Fundamental and New Approaches to Statistical Machine Translation – Lucia Specia
7 Rich Source-Side Context for Statistical Machine Translation – Kevin Gimpel, Noah A. Smith
3 A Novel Dependency-Based Evaluation Metric for Machine Translation – Karolina Owczarzak - 2008
Candidacy Examination – Dennis N. Mehay, Question I
Preference Grammars and Decoding Algorithms for Probabilistic Synchronous Context Free Grammar Based Translation. – Ashish Venugopal, A. Smith, Alex Waibel, Ashish Venugopal
1 2009a), A critique of statistical machine translation – Andy Way
4 German compounds in factored statistical machine translation – Sara Stymne - 2008
9 Training a Multilingual Sportscaster: Using Perceptual Context to Learn Language – David L. Chen, Joohyun Kim, Raymond J. Mooney - 2010
4 Feature-rich translation by quasi-synchronous lattice parsing – Kevin Gimpel, Noah A. Smith - 2009
21 Supertagged Phrase-based Statistical Machine Translation – Hany Hassan, Mary Hearne, Andy Way - 2007
USING SEMANTIC ROLE LABELS TO REORDER STATISTICAL MACHINE TRANSLATION OUTPUT – Lo Chi Kiu - 2009
SMT-CAT integration in a Technical Domain: Handling XML Markup Using Pre & Post-processing Methods – Arda Tezcan