An Improved Extracting Chinese Term Method Based on C/NC-Value

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 research indicate that this method is more efficient and robust than previous term-extraction methods.