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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 Hits 1 – 20 of 32 1 Active Semi-Supervised Learning for Improving Word Alignment ... Vamshi Ambati; Vogel, Stephan; Carbonell, Jaime G.. - : Figshare, 2018 BASE Show details 2 Active Semi-Supervised Learning for Improving Word Alignment ... Vamshi Ambati; Vogel, Stephan; Carbonell, Jaime G.. - : Figshare, 2018 BASE Show details 3 Active Learning and Crowdsourcing for Machine Translation in Low Resource Scenarios Vamshi Ambati; Raj Reddy; Aniket Kittur In: http://www.lti.cs.cmu.edu/research/thesis/2011/vamshi_ambati.pdf (2012) BASE Show details 4 Active Learning for Machine Translation in Low Resource Scenarios Vamshi Ambati; Raj Reddy; Aniket Kittur In: http://www.cs.cmu.edu/afs/.cs.cmu.edu/Web/copetas/Posters/LTIProposal-Ambati10.pdf (2010) BASE Show details 5 Active semi-supervised learning for improving word alignment Vamshi Ambati; Stephan Vogel; Jaime Carbonell In: http://www.cs.cmu.edu/%7Evamshi/publications/alnlp_naacl.pdf (2010) 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 Linguistic Structure and Bilingual Informants Help Induce Machine Translation of Lesser-Resourced Languages ... Monson, Christian; Llitjós, Ariadna Font; Vamshi Ambati. - : Carnegie Mellon University, 2009 BASE Show details 8 Proactive Learning for Building Machine Translation Systems for Minority Languages ... Vamshi Ambati; Carbonell, Jaime G.. - : Carnegie Mellon University, 2009 BASE Show details 9 Proactive Learning for Building Machine Translation Systems for Minority Languages ... Vamshi Ambati; Carbonell, Jaime G.. - : Carnegie Mellon University, 2009 BASE Show details 10 Linguistic Structure and Bilingual Informants Help Induce Machine Translation of Lesser-Resourced Languages ... Monson, Christian; Llitjós, Ariadna Font; Vamshi Ambati. - : Carnegie Mellon University, 2009 BASE Show details 11 Extraction of Syntactic Translation Models from Parallel Data using Syntax from Source and Target Languages ... Vamshi Ambati; Lavie, Alon; Carbonell, Jaime G.. - : Carnegie Mellon University, 2009 BASE Show details 12 Extraction of Syntactic Translation Models from Parallel Data using Syntax from Source and Target Languages ... Vamshi Ambati; Lavie, Alon; Carbonell, Jaime G.. - : Carnegie Mellon University, 2009 BASE Show details 13 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 14 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 15 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 16 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 17 Linguistic structure and bilingual informants help induce machine translation of lesser-resourced languages Christian Monson; Ariadna Font Llitjós; Vamshi Ambati. - 2008 BASE Show details 18 Linguistic Structure and Bilingual Informants to Induce Machine Translation of Lesser-Resourced Languages ... Monson, Christian; Llitjós, Ariadna Font; Vamshi Ambati. - : Carnegie Mellon University, 2008 BASE Show details 19 Linguistic Structure and Bilingual Informants to Induce Machine Translation of Lesser-Resourced Languages ... Monson, Christian; Llitjós, Ariadna Font; Vamshi Ambati. - : Carnegie Mellon University, 2008 BASE Show details 20 A hybrid approach to example based machine translation for Indian languages Vamshi Ambati; Rohini U In: http://www.mt-archive.info/ICON-2007-Ambati.pdf (2007) BASE Show details Page: 1 2

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