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| Applying Bilingual Lexicons to Detect Correspondences in English-Chinese Cross-lingual Plagiarism Documents |
| Qin Ying |
| Department of Computer Science, Beijing Foreign Studies University, Beijing 100089, China |
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Abstract [Objective] Translation correspondence in English-Chinese cross-lingual plagiarism documents is studied.[Methods] Similarity analysis is taken according to bilingual lexicons. To improve the precision and efficiency of corresponding words recognition, this study merges and sorts several bilingual lexicons. As to the problems of disambiguation and multiple matching, the paper proposes a method which applies word distribution and matching location to select the proper translation items. Similarities between sentences and paragraphs are defined on the stratified complex features such as word matching category, position of words and so on.[Results] Experiments on real translation documents show that precision and recall of retrieval reach 0.841 and 0.748 respectively.[Limitations] Out of Vocabulary (00V) correspondence is still hard to judge by lexicons.[Conclusions] The approach of cross-lingual similarity detection based on bilingual lexicons is easy to implement and has a wide range of application.
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Received: 27 February 2014
Published: 20 October 2014
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