Extracting Key Terms from Chinese and Japanese texts
نویسنده
چکیده
Key term extraction is very useful for information retrieval. Most term extraction methods use one of two approaches, namely lexical and grammatical. We argue that due to the diierences in linguistic and character set characteristics of Chinese and Japanese, a lexical approach is more suitable for Chinese whereas a grammatical approach is more suitable for Japanese. In this paper, we present two simple yet powerful systems for Chinese and Japanese key term extraction|CXtract and JBrat. CXtract uses predominantly statistical lexical information to nd term boundaries in large text. JBrat is based on morphosyn-tactic information of the Japanese character sets for terms. Evaluation results show that CXtract has a 80.24% average precision in term extraction, and JBrat has a 88.07% average precision.
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