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Automatic Chinese Term Extraction is an important issue in Natural Language Processing. This paper has proposed an improved method based on C/NC-value to extract Chinese term. We delete the linguistic part in C/NC-value method, and add two improved statistical parameters: mutual information and log-likelihood ratio, to calculate the statistical features of the candidate string. The results of the...
Syntactic analysis (syntactic parsing) is an important method in the natural language processing. The syntactic parsing aims to find a linguistic structure of a sentence with the knowledge of a certain grammar. The constituent parser which can build hierarchical structure with the phrase segments is the most popular method in nowadays NLP applications. Many approaches have been done to the parsing...
One nodus existing in Chinese word segmentation is the ambiguity problem of which more than 85% are crossing ambiguity, therefore it is significant to decrease the error in dealing with the crossing ambiguity. Taking the advantage of the characteristics of the crossing ambiguity string, a novel method based on the mutual information and t-test difference is proposed to deal with the ambiguities in...
The effective automatic judgment of the Chinese words sentiment polarity, the most important part of the Chinese sentiment analysis, can improve the building of the subjectivity lexicon and the efficiency of the sentiment analysis. The technology of the Chinese word subjectivity and objectivity judgment is discussed and analyzed, the subjectivity dictionary is defined and the subjective feature model...
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