Abstract：The paper researches automatic new word recognition in specialized field which is represented by phytology. A set of 200 documents on plant description randomly drawn from “Flora of China” is taken as sample set. At first, draw new words candidates are drawn by N-Gram method based on words split by ICTCLAS. Then all the new words candidates are sorted respectively by term frequency (TF), document frequency (D) and average term frequency (TF/D) and the candidates are selected among certain boundary as true new words. The experiments show that new words recognition according to TF is the best and F measurement is 0.65. This method can automatically produce user dictionary of specialized field and is highly portable.
段宇锋, 鞠菲. 基于N-Gram的专业领域中文新词识别研究[J]. 现代图书情报技术, 2012, 28(2): 41-47.
Duan Yufeng, Ju Fei. Research on Chinese New Word Recognition in Specialized Field Based on N-Gram. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2012.02.07.
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