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A Trigram HMM Model For Solving Parts-of- Speech (PoS) Tagging Problems

B.S.Uma , P.Penchala Prasad

In the most of the Natural language processing problems, we have to model pair of sequences. The Parts Of Speech tagging (PoS) is the best solution for this type of problems. In POS tagging problem, our goal is to build a proper output tagging sequence for a given input sentence. The tag sequence is same as the input sequence. To get the POS tagging we have used the Hidden Markov Model (HMM) along with the Stanford POS parser in this paper.

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哈姆达大学
世界科学期刊目录
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国际创新期刊影响因子(IIJIF)
国际组织研究所 (I2OR)
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