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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 Hits 1 – 20 of 74 1 Language Technologies for Humanitarian Aid ... Carbonell, Jaime G.; Lavie, Alon; Levin, Lori. - : Figshare, 2018 BASE Show details 2 Language Technologies for Humanitarian Aid ... Carbonell, Jaime G.; Lavie, Alon; Levin, Lori. - : Figshare, 2018 BASE Show details 3 Active Semi-Supervised Learning for Improving Word Alignment ... Vamshi Ambati; Vogel, Stephan; Carbonell, Jaime G.. - : Figshare, 2018 BASE Show details 4 Active Semi-Supervised Learning for Improving Word Alignment ... Vamshi Ambati; Vogel, Stephan; Carbonell, Jaime G.. - : Figshare, 2018 BASE Show details 5 An Efficient Interlingua Translation System for Multi-lingual Document Production ... Mitamura, Teruko; Nyberg, Eric; Carbonell, Jaime G.. - : Figshare, 2018 BASE Show details 6 ParaMor: Finding Paradigms across Morphology ... Monson, Christian; Carbonell, Jaime G.; Lavie, Alon. - : Figshare, 2018 BASE Show details 7 ParaMor: Minimally-Supervised Induction of Paradigm Structure and Morphological Analysis ... Monson, Christian; Carbonell, Jaime G.; Lavie, Alon. - : Figshare, 2018 BASE Show details 8 ParaMor: Finding Paradigms across Morphology ... Monson, Christian; Carbonell, Jaime G.; Lavie, Alon. - : Figshare, 2018 BASE Show details 9 Anaphora Resolution: A Multi-Strategy Approach, ... Carbonell, Jaime G.; Brown, Ralf D.. - : Figshare, 2018 BASE Show details 10 Anaphora Resolution: A Multi-Strategy Approach, ... Carbonell, Jaime G.; Brown, Ralf D.. - : Figshare, 2018 BASE Show details 11 Reducing Boundary Friction Using Translation-Fragment Overlap ... Brown, Ralf D.; Hutchinson, Rebecca; Bennett, Paul N.. - : Figshare, 2018 BASE Show details 12 Chunk-Based EBMT ... Kim, Jae Dong; Brown, Ralf D; Carbonell, Jaime G.. - : Carnegie Mellon University, 2010 BASE Show details 13 Chunk-Based EBMT ... Kim, Jae Dong; Brown, Ralf D; Carbonell, Jaime G.. - : Carnegie Mellon University, 2010 BASE Show details 14 Proactive Learning for Building Machine Translation Systems for Minority Languages ... Vamshi Ambati; Carbonell, Jaime G.. - : Carnegie Mellon University, 2009 BASE Show details 15 Proactive Learning for Building Machine Translation Systems for Minority Languages ... Vamshi Ambati; Carbonell, Jaime G.. - : Carnegie Mellon University, 2009 BASE Show details 16 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 17 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 18 Evaluating an Agglutinative Segmentation Model for ParaMor ... Monson, Christian; Lavie, Alon; Carbonell, Jaime G.. - : Carnegie Mellon University, 2008 BASE Show details 19 Evaluating an Agglutinative Segmentation Model for ParaMor ... Monson, Christian; Lavie, Alon; Carbonell, Jaime G.. - : Carnegie Mellon University, 2008 BASE Show details 20 Linguistic Structure and Bilingual Informants to Induce Machine Translation of Lesser-Resourced Languages ... Monson, Christian; Llitjós, Ariadna Font; Vamshi Ambati; Levin, Lori; Lavie, Alon; Alvarez, Alison; Aranovich, Roberto; Carbonell, Jaime G.; Frederking, Robert; Peterson, Erik; Probst, Katharina. - : Carnegie Mellon University, 2008 Abstract: Producing machine translation (MT) for the many minority languages in the world is a serious challenge. Minority languages typically have few resources for building MT systems. For many minor languages there is little machine readable text, few knowledgeable linguists, and little money available for mT development. For these reasons, our research programs on minority language MT have focused on leveraging to the maximum extent two resources that are available for minority languages: linguistic structure and bilingual informants. All natural languages contain linguistic structure. And although the details of that linguistic structure vary from language to language, language universals such as context-free syntactic structure and the paradigmatic structure of inflectional morphology, allow us to learn the specific details of a minority language. Similarly, most minority languages possess speakers who are bilingual with the major language of the area. This paper discusses our efforts to utilize linguistic ... Keyword: 80399 Computer Software not elsewhere classified; FOS Computer and information sciences URL: https://dx.doi.org/10.1184/r1/6623216.v1 https://kilthub.cmu.edu/articles/Linguistic_Structure_and_Bilingual_Informants_to_Induce_Machine_Translation_of_Lesser-Resourced_Languages/6623216/1 BASE Hide details Page: 1 2 3 4

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