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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.

Isenção de responsabilidade: Este resumo foi traduzido usando ferramentas de inteligência artificial e ainda não foi revisado ou verificado

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