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Multi-feature representation for Web-based English-Chinese OOV term translation
2011
2011 International Conference on Machine Learning and Cybernetics
This paper focuses on the Web-based English-Chinese OOV term translation pattern, and emphasizes particularly on the translation selection strategy based on the fusion of multiple features and the ranking mechanism based on Ranking Support Vector Machine (Ranking SVM). By utilizing the CoNLL2003 corpus for the English Named Entity Recognition (NER) task and selected new terms, the experiments based on different data sources show the consistent results. Our OOV term translation model can
doi:10.1109/icmlc.2011.6016971
dblp:conf/icmlc/ZhangSJZ11
fatcat:625ex4bv75debosu5keocpoe2a