Automatic Extraction of Multi-Word Domain Term in Uyghur Texts
TIAN Shengwei1, ZHONG Jun2, YU Long3
1. School of Software, Xinjiang University, Urumqi, Xinjiang 830008, China; 2. Information Science and Engineering Technology Institute, Xinjiang University, Urumqi, Xinjiang 830046, China; 3. Net Center, Xinjiang University, Urumqi, Xinjiang 830046, China
Abstract：Multi-word domain term extraction is an important issue in natural language processing. Combining the language features of Uyghur, a method of Uyghur multi-word domain terms extraction based on rules and statistics is proposed. The method is divided into four phases: ①corpora pre-processing, including the stop words filtering and part-of-speech(POS) tagging; ②obtaining N-gram substrings as the term candidates, by POS information and calculating internal associative strength via according to the modified mutual information and log likelihood ratio; ③enlarging the term candidates by utilizing the relative frequency difference; ④decide the final terms by C_value. The experimental results show the efficiency of the proposed method with a 85.08% precision and 73.19% recallin Uyghur multi-word domain terms extraction.
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2015, Vol. 29 
