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- W2356804942 abstract "To better represent the influence of the context to the part of speech of the current word,this paper proposes a second-order hidden Markov model based on the traditional hidden Markov model and applies it to part-of-speech tagging in Chinese.In the improved statistical model,sparse data problem occurs due to the shortage of training data.To solve this problem,an improved smoothing algorithm based on index linear interpolation is proposed,which provides effective smoothing.Experiments show that the second-order Hidden Markov Model(HMM) based on the context has higher correct rate and disambiguation rate of part-of-speech tagging than the traditional hidden Markov model." @default.
- W2356804942 created "2016-06-24" @default.
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- W2356804942 date "2010-01-01" @default.
- W2356804942 modified "2023-09-29" @default.
- W2356804942 title "Second-order Hidden Markov Model Based on Context" @default.
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