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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...7 Hits 1 – 20 of 134 1 Meteor Universal: Language Specific Translation Evaluation for Any Target Language Michael Denkowski; Alon Lavie In: http://www.aclweb.org/anthology/W/W14/W14-3348.pdf (2014) BASE Show details 2 Tree Transduction Tools for Cdec Austin Matthews; Paul Baltescu; Phil Blunsom... In: Prague Bulletin of Mathematical Linguistics , Vol 102, Iss 1, Pp 27-36 (2014) (2014) BASE Show details 3 � Hierarchical Phrase-based Models (Chiang’s Hiero) Alon Lavie; Marcello Federico; Gabriele Musillo In: http://demo.clab.cs.cmu.edu/sp2013-11731/slides/13.syntax1.pdf (2013) BASE Show details 4 Evaluation Alon Lavie In: http://demo.clab.cs.cmu.edu/sp2013-11731/slides/10.eval2.pdf (2013) BASE Show details 5 decoding with syntactic and non-syntactic phrases in a syntax-based machine translation system Greg Hanneman; Alon Lavie In: http://www.mt-archive.info/SSST-2009-Hanneman.pdf (2009) BASE Show details 6 Extraction of Syntactic Translation Models from Parallel Data using Syntax from Source and Target Languages Vamshi Ambati; Alon Lavie; Jaime Carbonell In: http://www.cs.cmu.edu/%7Ejgc/publication/Extraction_of_Syntactic_Translation_Models_from_Parallel_Data_using_Syntax_from_Source_and_Target_Languages_2009.pdf (2009) Abstract: We propose a generic rule induction framework that is informed by syntax from both sides of a parsed parallel corpus, as sets of structural, boundary and labeling related constraints. Factoring syntax in this manner empowers our framework to work with independent annotations coming from multiple resources and not necessarily a single syntactic structure. We then explore the issue of lexical coverage of translation models learned in different scenarios using syntax from one side vs. both sides. We specifically look at how the non-isomorphic nature of parse trees for the two languages affects coverage. We propose a novel technique for restructuring targetside parse trees, that generates alternate isomorphic target trees that preserve the syntactic boundaries of constituents that were aligned in the original parse trees. We also show that combining rules extracted by restructuring syntactic trees on both sides produces significantly better translation models. The improved precision and coverage of our syntax tables particularly fill in for the lack of lexical coverage in Syntax based Machine Translation approaches. 1 URL: http://www.cs.cmu.edu/%7Ejgc/publication/Extraction_of_Syntactic_Translation_Models_from_Parallel_Data_using_Syntax_from_Source_and_Target_Languages_2009.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.167.9373 BASE Hide details 7 Decoding with syntactic and non-syntactic phrases in a syntax-based machine translation system Greg Hanneman; Alon Lavie In: http://aclweb.org/anthology-new/W/W09/W09-2301.pdf (2009) BASE Show details 8 Decoding with syntactic and non-syntactic phrases in a syntax-based machine translation system Greg Hanneman; Alon Lavie In: http://www.cs.cmu.edu/~alavie/papers/NAACL-09-SSST-phrase-combo4.pdf (2009) BASE Show details 9 Improving Syntax-Driven Translation Models by Re-structuring Divergent and Nonisomorphic Parse Tree Structures Vamshi Ambati; Alon Lavie In: http://www.mt-archive.info/AMTA-2008-Ambati.pdf (2008) BASE Show details 10 Improving Syntax-Driven Translation Models by Re-structuring Divergent and Nonisomorphic Parse Tree Structures Vamshi Ambati; Alon Lavie In: http://www.cs.cmu.edu/afs/cs.cmu.edu/project/cmt-40/Nice/Papers/AMTA-08/amta.pdf (2008) BASE Show details 11 Linguistic structure and bilingual informants help induce machine translation of lesser-resourced languages Christian Monson; Ariadna Font Llitjós; Vamshi Ambati... In: http://www.mt-archive.info/LREC-2008-Monson.pdf (2008) BASE Show details 12 Linguistic structure and bilingual informants help induce machine translation of lesser-resourced languages Christian Monson; Ariadna Font Llitjós; Vamshi Ambati... In: http://www.cs.cmu.edu/afs/cs.cmu.edu/project/cmt-40/Nice/Papers/lrec-2008/LeveragingLinguisticStructureToLearnMTOfLesserResourcedLanguages/LeveragingLinguisticStructureToLearnMTOfLesserResourcedLanguages_v14.pdf (2008) BASE Show details 13 Linguistic structure and bilingual informants help induce machine translation of lesser-resourced languages Christian Monson; Ariadna Font Llitjós; Vamshi Ambati. - 2008 BASE Show details 14 Experiments with a noun-phrase driven statistical machine translation system Sanjika Hewavitharana; Alon Lavie; Stephan Vogel In: http://www.mt-archive.info/MTS-2007-Hewavitharana.pdf (2007) BASE Show details 15 High-accuracy annotation and parsing of CHILDES transcripts Kenji Sagae; Alon Lavie In: http://www.cs.cmu.edu/~dhdavis/final_cog07.pdf (2007) BASE Show details 16 High-accuracy annotation and parsing of CHILDES transcripts Kenji Sagae; Alon Lavie In: http://www.cs.cmu.edu/~sagae/docs/sagae-cog07.pdf (2007) BASE Show details 17 High-accuracy annotation and parsing of CHILDES transcripts Kenji Sagae; Alon Lavie In: http://www.cs.cmu.edu/~alavie/papers/ACL-07-cog-workshop.pdf (2007) BASE Show details 18 Improving a Transfer-Based MT System with Automatic Refinements Ariadna Font Llitjós; Jaime Carbonell; Alon Lavie In: http://www.mt-archive.info/MTS-2007-Font-Llitjos.pdf (2007) BASE Show details 19 Improving a Transfer-Based MT System with Automatic Refinements Ariadna Font Llitjós; Jaime Carbonell; Alon Lavie In: http://www-2.cs.cmu.edu/~alavie/papers/MTSummit-07-Ari.pdf (2007) BASE Show details 20 Multi-engine Machine Translation Guided by Explicit Word Matching Shyamsundar Jayaraman; Alon Lavie In: http://www.mt-archive.info/EAMT-2005-Jayaraman.pdf (2005) BASE Show details Page: 1 2 3 4 5...7

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