Computation method for Chinese sentence similarity based on dynamic feature words
Linpeng Huang · Journal of Baoji University of Arts and Sciences · 2013
Objective—To propose a computation method for Chinese sentence similarities based on dynamic feature words in combination with the feature of language acquisition because there is some shortcomings in the current similarity computation methods of Chinese sentence.Methods—First,the left and right chunks are extracted with the feature words as chunks segmentation boundary.Then the similarities between left and right chunks from the two sentences are calculated using a semantic vector space model.Finally the overall sentence similarity is defined with a combination of these chunk similarities by the weighted parameter.Results—The experiments show that the proposed method with great precision is much close to the similarity of manual judgment.Conclusion—The similarity computation method of Chinese sentence based on dynamic feature words has better performance in common sentence pattern.