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Tibetan-Chinese Cross Language Text Similarity Calculation Based on LDA Topic Model
| Content Provider | Semantic Scholar |
|---|---|
| Author | Yuan, Sun Qian, Zhao |
| Copyright Year | 2015 |
| Abstract | Topic model building is the basis and the most critical module of cross-language topic detection and tracking. Topic model also can be applied to cross-language text similarity calculation. It can improve the efficiency and the speed of calculation by reducing the texts’ dimensionality. In this paper, we use the LDA model in cross-language text similarity computation to obtain Tibetan-Chinese comparable corpora: (1) Extending Tibetan-Chinese dictionary by extracting Tibetan-Chinese entities from Wikipedia. (2) Using topic model to make the texts mapped to the feature space of topics. (3) Calculating the similarity of two texts in different language according to the characteristics of the news text. The method for text similarity calculation based on LDA model reduces the dimensions of text space vector, and enhances the understanding of the text’s semantics. It also improves the speed and efficiency of calculation. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://benthamopen.com/contents/pdf/TOCSJ/TOCSJ-9-2911.pdf |
| Alternate Webpage(s) | https://benthamopen.com/contents/pdf/TOCSJ/TOCSJ-9-2911.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Anterior descending branch of left coronary artery Chinese dictionary Computation Dictionary [Publication Type] Entity Feature vector Text corpus Topic model Wikipedia |
| Content Type | Text |
| Resource Type | Article |
