Improved hidden Markov models used in Kazakh part-of-speech tagging
Hou Cheng-feng · Computer Engineering and Applications Journal · 2010
Part-of-Speech(POS) tagging of Kazakh is playing a key role in natural language information processing.Kazakh POS tagging is the basis of syntactic analysisi,nformation retrieval and machine translation.Based upon the traditional HMM,computing of HMM parameters,data-smoothing and process of words which are not logged enable to improve context depen-dence relationship.Use statistical method to train Kazakh corpus,and then use Viterbi algorithm to implement POS tagging.The experimental results show that the effect of POS tagging of improved HMM is better than traditional HMM.