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ORCIDWorkshop on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid MT@COLING 2012: Mumbai, India
- Josef van Genabith, Toni Badia, Christian Federmann, Maite Melero, Marta R. Costa-jussà, Tsuyoshi Okita:
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 - Vassilina Nikoulina, Ágnes Sándor, Marc Dymetman:
Hybrid Adaptation of Named Entity Recognition for Statistical Machine Translation. 1-16 - Maoxi Li, Mingwen Wang:
Confusion Network Based System Combination for Chinese Translation Output: Word-Level or Character-Level? 17-24 - Kartik Asooja, Jorge Gracia, Nitish Aggarwal, Asunción Gómez-Pérez:
Using Cross-Lingual Explicit Semantic Analysis for Improving Ontology Translation. 25-36 - Xiaofeng Wu, Tsuyoshi Okita, Josef van Genabith, Qun Liu:
System Combination with Extra Alignment Information. 37-44 - Tsuyoshi Okita, Antonio Toral, Josef van Genabith:
Topic Modeling-based Domain Adaptation for System Combination. 45-54 - Tsuyoshi Okita, Raphaël Rubino, Josef van Genabith:
Sentence-Level Quality Estimation for MT System Combination. 55-64 - Tsuyoshi Okita:
Neural Probabilistic Language Model for System Combination. 65-76 - Christian Federmann:
System Combination Using Joint, Binarised Feature Vectors. 77-84 - Christian Federmann, Tsuyoshi Okita, Maite Melero, Marta R. Costa-jussà, Toni Badia, Josef van Genabith:
Results from the ML4HMT-12 Shared Task on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid Machine Translation. 85-90
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