| Title | Natural Language Processing Based Part of Speech Tagger using Hidden Markov Model |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Nambiar, Sindhya K, Leons, Antony, Jose, Soniya, Arunsree |
| Conference Name | 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) |
| Keywords | Computational modeling, Conferences, hidden Markov model, Hidden Markov models, Hidden markov-model, Human Behavior, Indian languages, language translation, Malayalam language, natural language processing, natural language processing applications, part of speech tagger, part-of-speech tagging, POS tagging, pubcrawl, Resiliency, rule based taggers, Scalability, Stochastic processes, stochastic taggers, supervised learning, tagged sentences, tagging, Viterbi algorithm |
| Abstract | In various natural language processing applications, PART-OF-SPEECH (POS) tagging is performed as a preprocessing step. For making POS tagging accurate, various techniques have been explored. But in Indian languages, not much work has been done. This paper describes the methods to build a Part of speech tagger by using hidden markov model. Supervised learning approach is implemented in which, already tagged sentences in malayalam is used to build hidden markov model. |
| DOI | 10.1109/I-SMAC47947.2019.9032593 |
| Citation Key | nambiar_natural_2019 |
Natural Language Processing Based Part of Speech Tagger using Hidden Markov Model