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June 2014 (published: 01.06.2014)
Number 2(20)
Home > Issue > Modeling a modern POS tagger using HMM and Viterbi Algorithm
Shatornaya A., Vorobiev A.
The paper presents a modern way of an improved POS tagger which was modeled by using Hidden Markov Model and Viterbi Algorithm. The algorithm provides ideas for handling unknown words. This issue is caused by such words that have the same spelling but relate to complete different parts of speech and have various meanings. The accuracy of such POS tagger exceeds 96%. Such algorithm’s accuracy was analyzed to other existing algorithms and suggestions were provided.
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Keywords: HMM, Viterbi Algorithm, POS tagger, part of speech tagging
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
UDC 541.628
Modeling a modern POS tagger using HMM and Viterbi Algorithm
The paper presents a modern way of an improved POS tagger which was modeled by using Hidden Markov Model and Viterbi Algorithm. The algorithm provides ideas for handling unknown words. This issue is caused by such words that have the same spelling but relate to complete different parts of speech and have various meanings. The accuracy of such POS tagger exceeds 96%. Such algorithm’s accuracy was analyzed to other existing algorithms and suggestions were provided.
Read the full article
Keywords: HMM, Viterbi Algorithm, POS tagger, part of speech tagging
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License