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1
Linguistic Structure and Bilingual Informants Help Induce Machine Translation of Lesser-Resourced Languages ...
Monson, Christian; Llitjós, Ariadna Font; Vamshi Ambati. - : Carnegie Mellon University, 2009
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Linguistic Structure and Bilingual Informants Help Induce Machine Translation of Lesser-Resourced Languages ...
Monson, Christian; Llitjós, Ariadna Font; Vamshi Ambati. - : Carnegie Mellon University, 2009
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3
Linguistic Structure and Bilingual Informants to Induce Machine Translation of Lesser-Resourced Languages ...
Monson, Christian; Llitjós, Ariadna Font; Vamshi Ambati. - : Carnegie Mellon University, 2008
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4
Linguistic Structure and Bilingual Informants to Induce Machine Translation of Lesser-Resourced Languages ...
Monson, Christian; Llitjós, Ariadna Font; Vamshi Ambati. - : Carnegie Mellon University, 2008
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5
Automating Post-Editing to Improve MT Systems ...
Llitjós, Ariadna Font; Carbonell, Jaime G.. - : Carnegie Mellon University, 2006
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6
Automating Post-Editing to Improve MT Systems ...
Llitjós, Ariadna Font; Carbonell, Jaime G.. - : Carnegie Mellon University, 2006
Abstract: Beyond manual and automated post-editing, we describe an approach that takes post-editing information to automatically improve the underlying rules and lexical entries of a transfer-based Machine Translation (MT) system. This process can be divided into two main steps. In the first step, an online post-editing tool allows for easy error diagnosis and implicit error categorization. In the second step, an Automatic Rule Refiner performs error remediation, by tracking errors and suggesting repairs that are mostly lexical and morpho-syntactic in nature (such as word-order or incorrect agreement in transfer rules). This approach directly improves the intelligibility of corrected MT output and, more interestingly, it generalizes over unseen data, providing improved MT output for similar sentences that have not been corrected. Hence our approach is an alternative to fully-automated Post-Editing. ...
Keyword: 80399 Computer Software not elsewhere classified; FOS Computer and information sciences
URL: https://dx.doi.org/10.1184/r1/6621227
https://kilthub.cmu.edu/articles/Automating_Post-Editing_to_Improve_MT_Systems/6621227
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7
A Framework for Interactive and Automatic Refinement of Transfer-based Machine Translation ...
Llitjós, Ariadna Font; Carbonell, Jaime G.; Lavie, Alon. - : Carnegie Mellon University, 2005
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8
A Framework for Interactive and Automatic Refinement of Transfer-based Machine Translation ...
Llitjós, Ariadna Font; Carbonell, Jaime G.; Lavie, Alon. - : Carnegie Mellon University, 2005
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9
Data Collection and Analysis of Mapudungun Morphology for Spelling Correction ...
Monson, Christian; Levin, Lori; Vega, Rodolfo. - : Carnegie Mellon University, 2004
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10
Data Collection and Analysis of Mapudungun Morphology for Spelling Correction ...
Monson, Christian; Levin, Lori; Vega, Rodolfo. - : Carnegie Mellon University, 2004
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11
A Trainable Transfer-based Machine Translation Approach for Languages with Limited Resources ...
Lavie, Alon; Probst, Katharina; Peterson, Erik. - : Carnegie Mellon University, 2004
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12
A Trainable Transfer-based Machine Translation Approach for Languages with Limited Resources ...
Lavie, Alon; Probst, Katharina; Peterson, Erik. - : Carnegie Mellon University, 2004
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13
The Translation Correction Tool : English-Spanish User Studies ...
Llitjós, Ariadna Font; Carbonell, Jaime G.. - : Carnegie Mellon University, 2004
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14
The Translation Correction Tool : English-Spanish User Studies ...
Llitjós, Ariadna Font; Carbonell, Jaime G.. - : Carnegie Mellon University, 2004
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