Quantitative Analysis about Feature Template in Chinese Part-of-Speech Tagging
Zheng Hao Xi · Journal of Anyang Normal University · 2013
Selecting feature template is very important to Chinese part-of-speech tagging by using CRFs. In this paper we have designed two groups of feature templates,selected CTB,NCC and PKU as corpus,used CRF + + 0. 53. Comparative experiments are performed on different feature templates and corpus and we have analyzed the template parameters. Conclusions are given bellow.( 1) Accuracy rate of part-of-speech tagging is not proportionate to the size of context window. The part of speech of the current word is more closely related to the above-context than below-context.( 2) it's more difficult to train model when there are more features.( 3) Part of speech transition feature have influence on Chinese part-of-speech tagging.