Proceedings of the Second Workshop on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid MT@COLING 2012, Mumbai, India, December 25, 2012 - researchr publication

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Josef van Genabith, Toni Badia, Christian Federmann, Maite Melero, Marta R. Costa-Jussà, Tsuyoshi Okita 0002, editors, Proceedings of the Second Workshop on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid MT@COLING 2012, Mumbai, India, December 25, 2012. The COLING 2012 Organizing Committee, 2012. [doi]

Conference: COLING2012

Abstract is missing.

Hybrid Adaptation of Named Entity Recognition for Statistical Machine TranslationVassilina Nikoulina, Ágnes Sándor, Marc Dymetman. 1-16 [doi]

Confusion Network Based System Combination for Chinese Translation Output: Word-Level or Character-Level?Maoxi Li, Mingwen Wang. 17-24 [doi]

Using Cross-Lingual Explicit Semantic Analysis for Improving Ontology TranslationKartik Asooja, Jorge Gracia, Nitish Aggarwal, Asunción Gómez-Pérez. 25-36 [doi]

System Combination with Extra Alignment InformationXiaofeng Wu, Tsuyoshi Okita 0002, Josef van Genabith, Qun Liu. 37-44 [doi]

Topic Modeling-based Domain Adaptation for System CombinationTsuyoshi Okita 0002, Antonio Toral, Josef van Genabith. 45-54 [doi]

Sentence-Level Quality Estimation for MT System CombinationTsuyoshi Okita 0002, Raphaël Rubino, Josef van Genabith. 55-64 [doi]

Neural Probabilistic Language Model for System CombinationTsuyoshi Okita 0002. 65-76 [doi]

System Combination Using Joint, Binarised Feature VectorsChristian Federmann. 77-84 [doi]

Results from the ML4HMT-12 Shared Task on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid Machine TranslationChristian Federmann, Tsuyoshi Okita 0002, Maite Melero, Marta R. Costa-Jussà, Toni Badia, Josef van Genabith. 85-90 [doi]

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