Research on DOP-based Chinese parsing

This paper presents a Chinese parsing method which takes data-oriented parsing technique as the basic framework and utilizes the similarity-based probability estimate technique. Through the initial selection process, the fragment-combination forms of the input sentence are acquired on the constructed knowledge source including treebank, fragment-bank and fragment-combination-bank. Then by using the similarity-based probability estimate technique, the combination parsing process can be completed successfully. To prove the method efficiency, the knowledge source is constructed on the real-world Chinese corpus, and the other corpus is used as the test set. The experiment results show that every test parameter is satisfied.