Automatic identification of Uyghur domain term in Web text
ZHONG Jun1,TIAN Sheng-wei2,YU Long3
1. College of Information Science and Technology, Xinjiang University, Urumqi Xinjiang 830046,China 2. College of Software Design, Xinjiang University, Urumqi Xinjiang 830046, China 3. Network Center, Xinjiang University, Urumqi Xinjiang 830046, China
Abstract：Since the Uyghur domain term is difficult to achieve, the workload of artificial expansion of the domain term is tremendous, and the efficiency is low, this paper used the Conditional Random Field (CRF) to identify the Uyghur domain term from the Web texts, which expanded the domain term with the conjunction word and the Mutual Information (MI) between the words based on the co-occurrence of terms. The experiments on the collected Web texts show that, for the short Uyghur domain terms, the algorithm achieves the precision as high as 97.59% and the recall 93.38%, and for the long Uyghur domain terms achieves the precision 55.72%.
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