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Chinese-English OOV Term Translation with Web Mining, Multiple Feature Fusion and Supervised Learning
Zhao, Yun1; Zhu, Qinen1; Jin, Cheng1; Zhang, Yuejie1; Huang, Xuanjing1; Zhang, Tao2
2014
关键词Chinese-English OOV Term Translation Web mining multiple feature fusion supervised learning Ranking SVM
卷号8801
页码234-246
英文摘要This paper focuses on the Web-based Chinese-English Out-of-Vocabulary (OOV) term translation pattern, and emphasizes on the translation selection based on multiple feature fusion and the ranking based on Ranking Support Vector Machine (Ranking SVM). By utilizing the SIGHAN2005 corpus for the Chinese Named Entity Recognition (NER) task and selected new terms, the experiments based on different data sources show the consistent results. From the experimental results for combining our model with Chinese-English Cross-Language Information Retrieval (CLIR) on the data sets of TREC, it can be found that the obvious performance improvements for both query translation and CLIR are obtained.
会议录出版者SPRINGER-VERLAG BERLIN
会议录出版地HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
语种英语
WOS研究方向Computer Science ; Linguistics
WOS记录号WOS:000391136400021
内容类型会议论文
源URL[http://10.2.47.112/handle/2XS4QKH4/3047]  
专题上海财经大学
作者单位1.Fudan Univ, Shanghai Key Lab Intelligent Informat Proc, Sch Comp Sci, Shanghai 200433, Peoples R China;
2.Shanghai Univ Finance & Econ, Sch Informat Management & Engn, Shanghai 200433, Peoples R China
推荐引用方式
GB/T 7714
Zhao, Yun,Zhu, Qinen,Jin, Cheng,et al. Chinese-English OOV Term Translation with Web Mining, Multiple Feature Fusion and Supervised Learning[C]. 见:.
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