coling 2012 论文列表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. |
Results from the ML4HMT-12 Shared Task on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid Machine Translation.
System Combination Using Joint, Binarised Feature Vectors.
Neural Probabilistic Language Model for System Combination.
Sentence-Level Quality Estimation for MT System Combination.
Topic Modeling-based Domain Adaptation for System Combination.
System Combination with Extra Alignment Information.
Using Cross-Lingual Explicit Semantic Analysis for Improving Ontology Translation.
Confusion Network Based System Combination for Chinese Translation Output: Word-Level or Character-Level?
Hybrid Adaptation of Named Entity Recognition for Statistical Machine Translation.