Part-Of Speech Tagging Base on Hidden Markov Model

Xi Jie Wang; Shun Yi Hu

doi:10.4028/www.scientific.net/AMM.198-199.852

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 198-199Part-Of Speech Tagging Base on Hidden Markov Model

Part-Of Speech Tagging Base on Hidden Markov Model

Abstract:

Part-of-Speech Tagging is the fundamental problems in natural language processing .The paper introduces the representation of the Hidden Markov Model (HMM) and the needs to solve the problem, and then discusses the parameter estimation method of the HMM model, and research on basic principles of Part-of Speech Tagging using Viterbi algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 198-199)

Pages:

852-855

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.198-199.852

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Online since:

September 2012

Authors:

Xi Jie Wang, Shun Yi Hu

Keywords:

Hidden Markov Model (HMM), Natural Language Processing, Part-of Speech Tagging, Shortest Path, Viterbi Algorithm

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