关键词: 柯尔克孜语, 自动分词词典, 隐马尔可夫模型（HMM）, 词性标注

Abstract: Research on the Kirghiz information processing plays an important role to whether Xinjiang Kirghiz can enter the information age, and inherit the national culture. Based on the traditional HMM theory, this paper uses the two stage dimension method and improves the HMM parameters calculation, data-smoothing and unknown words, so it can reflect the context dependence better. Meanwhile, stem extraction algorithm, which is based on automatic words segmentation dictionary, with rules and statistics method is used for the using of Kirghiz part-of-speech tagging system. Compared to traditional HMM, the improved method is effective to enhance accuracy.

Key words: Kirghiz, automatic words segmentation dictionary, Hidden Markov Model（HMM）, part-of-speech tagging