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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jian-Min Yao Chang-Long Sun Yu Hong Yun-Dong Ge Qiao-Min Zhu |
| Copyright Year | 2010 |
| Description | Author affiliation: Suzhou University, Jiangsu Province, Key Laboratory of Computer Information Processing, Suzhou 215006 (Jian-Min Yao; Chang-Long Sun; Yu Hong; Yun-Dong Ge; Qiao-Min Zhu) |
| Abstract | The query translation of Out of Vocabulary (OOV) is one of the key factors that affect the performance of Cross-Language Information Retrieval (CLIR). Based on Wikipedia data structure and language features, the paper divides translation environment into target-existence and target-deficit environment. To overcome the difficulty of translation mining in the target-deficit environment, the frequency change information and adjacency information is used to realize the extraction of candidate units, and establish the strategy of mixed translation mining based on the frequency-distance model, surface pattern matching model and summary-score model. Search engine based OOV translation mining is taken as baseline to test the performance on TOP1 results. It is verified that the mixed translation mining method based on Wikipedia can achieve the precision rate of 0.6279, and the improvement is 6.98% better than the baseline. |
| Starting Page | 3374 |
| Ending Page | 3379 |
| File Size | 137649 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424465262 |
| e-ISBN | 9781424465279 |
| DOI | 10.1109/ICMLC.2010.5580683 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-11 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Internet Encyclopedias Electronic publishing Mathematical model Data mining Equations |
| Content Type | Text |
| Resource Type | Article |
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