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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hsun-Hui Huang Horng-Chang Yang Yau-Hwang Kuo |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ. Tainan, Tainan (Hsun-Hui Huang) |
| Abstract | As cross-lingual information retrieval attracts increasing attention, tools that measure cross-lingual document similarity become desirable. Since the way that people convey thoughts at the abstract concept level makes little, if any, difference in the languages they use, it is possible to measure semantic similarity between different lingual documents based on the concepts conveyed by the documents. In this paper, a novel fuzzy rough set based method for measurement of semantic similarity between cross lingual (Chinese and English) documents is proposed. Aided by a bilingual dictionary and Wordnet, translation is processed like word sense disambiguation and all the distilled senses are used to construct a fuzzy approximation space using a fuzzy partition algorithm. In the fuzzy approximation space documents are approximated by their fuzzy upper and lower approximations and the similarity measure is defined accordingly. The upper and lower approximations correspond to the slack and tight extent of the concepts in their associated document. This method makes possible to distinguish among the documents whose original texts seem not similar but conveyed concepts are similar. |
| Starting Page | 82 |
| Ending Page | 82 |
| File Size | 370212 |
| Page Count | 1 |
| File Format | |
| ISBN | 9780769531618 |
| DOI | 10.1109/ICICIC.2008.33 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-06-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer science Fuzzy sets Aerospace electronics Information retrieval Distance measurement Approximation methods Intelligent systems |
| Content Type | Text |
| Resource Type | Article |
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