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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