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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 6 7 8 9 Hits 81 – 100 of 179 81 A Framework for Interactive and Automatic Refinement of Transfer-based Machine Translation ... Llitjós, Ariadna Font; Carbonell, Jaime G.; Lavie, Alon. - : Carnegie Mellon University, 2005 BASE Show details 82 Automatic Rule Learning for Resource-Limited MT ... Carbonell, Jaime G.; Probst, Katharina; Peterson, Erik. - : Carnegie Mellon University, 2005 BASE Show details 83 Developing Language Resources for Transnational Digital Government Systems: A Case Study ... Cavalli-Sforza, Violetta; Carbonell, Jaime G.; Jansen, Peter J.. - : Carnegie Mellon University, 2004 BASE Show details 84 Developing Language Resources for Transnational Digital Government Systems: A Case Study ... Cavalli-Sforza, Violetta; Carbonell, Jaime G.; Jansen, Peter J.. - : Carnegie Mellon University, 2004 BASE Show details 85 Data Collection and Analysis of Mapudungun Morphology for Spelling Correction ... Monson, Christian; Levin, Lorraine; Vega, Rodolfo M. - : Carnegie Mellon University, 2004 BASE Show details 86 Data Collection and Analysis of Mapudungun Morphology for Spelling Correction ... Monson, Christian; Levin, Lorraine; Vega, Rodolfo M. - : Carnegie Mellon University, 2004 BASE Show details 87 Data Collection and Analysis of Mapudungun Morphology for Spelling Correction ... Monson, Christian; Levin, Lori; Vega, Rodolfo. - : Carnegie Mellon University, 2004 BASE Show details 88 Data Collection and Analysis of Mapudungun Morphology for Spelling Correction ... Monson, Christian; Levin, Lori; Vega, Rodolfo. - : Carnegie Mellon University, 2004 BASE Show details 89 Challenges in Using an Example-Based MT System for a Transnational Digital Government Project ... Cavalli-Sforza, Violetta; Brown, Ralf D.; Carbonell, Jaime G.. - : Carnegie Mellon University, 2004 BASE Show details 90 Challenges in Using an Example-Based MT System for a Transnational Digital Government Project ... Cavalli-Sforza, Violetta; Brown, Ralf D.; Carbonell, Jaime G.. - : Carnegie Mellon University, 2004 BASE Show details 91 Unsupervised Induction of Natural Language Morphology Inflection Classes ... Monson, Christian; Lavie, Alon; Carbonell, Jaime G.. - : Carnegie Mellon University, 2004 BASE Show details 92 Unsupervised Induction of Natural Language Morphology Inflection Classes ... Monson, Christian; Lavie, Alon; Carbonell, Jaime G.. - : Carnegie Mellon University, 2004 BASE Show details 93 A Trainable Transfer-based Machine Translation Approach for Languages with Limited Resources ... Lavie, Alon; Probst, Katharina; Peterson, Erik. - : Carnegie Mellon University, 2004 BASE Show details 94 A Trainable Transfer-based Machine Translation Approach for Languages with Limited Resources ... Lavie, Alon; Probst, Katharina; Peterson, Erik; Vogel, Stephan; Levin, Lori; Llitjós, Ariadna Font; Carbonell, Jaime G.. - : Carnegie Mellon University, 2004 Abstract: We describe a Machine Translation (MT) approach that is specifically designed to enable rapid development of MT for languages with limited amounts of online resources. Our approach assumes the availability of a small number of bi-lingual speakers of the two languages, but these need not be linguistic experts. The bi-lingual speakers create a comparatively small corpus of word aligned phrases and sentences (on the order of magnitude of a few thousand sentence pairs) using a specially designed elicitation tool. From this data, the learning module of our system automatically infers hierarchical syntactic transfer rules, which encode how syntactic constituent structures in the source language transfer to the target language. The collection of transfer rules is then used in our run-time system to translate previously unseen source language text into the target language. We describe the general principles underlying our approach, and present results from an experiment, where we developed a basic Hindi-to-English ... Keyword: 80399 Computer Software not elsewhere classified; FOS Computer and information sciences URL: https://kilthub.cmu.edu/articles/A_Trainable_Transfer-based_Machine_Translation_Approach_for_Languages_with_Limited_Resources/6620843 https://dx.doi.org/10.1184/r1/6620843 BASE Hide details 95 Maximal Lattice Overlap in Example-Based Machine Translation ... Hutchinson, Rebecca; Bennett, Paul N; Carbonell, Jaime G.. - : Carnegie Mellon University, 2004 BASE Show details 96 Maximal Lattice Overlap in Example-Based Machine Translation ... Hutchinson, Rebecca; Bennett, Paul N; Carbonell, Jaime G.. - : Carnegie Mellon University, 2004 BASE Show details 97 The Translation Correction Tool: English-Spanish user studies ... Font-Llitjos, Ariadna; Carbonell, Jaime G.. - : Carnegie Mellon University, 2004 BASE Show details 98 The Translation Correction Tool: English-Spanish user studies ... Font-Llitjos, Ariadna; Carbonell, Jaime G.. - : Carnegie Mellon University, 2004 BASE Show details 99 The Translation Correction Tool : English-Spanish User Studies ... Llitjós, Ariadna Font; Carbonell, Jaime G.. - : Carnegie Mellon University, 2004 BASE Show details 100 The Translation Correction Tool : English-Spanish User Studies ... Llitjós, Ariadna Font; Carbonell, Jaime G.. - : Carnegie Mellon University, 2004 BASE Show details Page: 1 2 3 4 5 6 7 8 9

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