Stochastic Based Part of Speech Tagging in Mizo Language: Unigram and Bigram Hidden Markov Model-Reference-Cited by-同舟云学术

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Stochastic Based Part of Speech Tagging in Mizo Language: Unigram and Bigram Hidden Markov Model

Published:2022 Issue: Volume: Page:711-722
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Nunsanga Morrel V. L.,Pakray Partha,Lalngaihtuaha Mika,Lolit Kumar Singh L.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-0019-8_53

Reference17 articles.

1. Ethnologue, languages of the world. https://www.ethnologue.com/ethnoblog/gary-simons/welcome-23rd-edition. Last accessed 2020/11/01

2. Wikipedia. The free encyclopedia. https://en.wikipedia.org/wiki/List_of_endangered_languages_in_India. Last accessed 2020/11/01

3. Jurafsky D (2000) Speech & language processing, 2nd edn. Pearson Education, India

4. Kupiec J (1992) Robust part-of-speech tagging using a hidden Markov model. Comput Speech Lang 6(3):225–242

5. Al Shamsi F, Guessoum A (2006) A hidden Markov model-based POS tagger for Arabic. In: Proceeding of the 8th international conference on the statistical analysis of textual data, France, pp 31–42

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. BaNeP: An End-to-End Neural Network Based Model for Bangla Parts-of-Speech Tagging;IEEE Access;2022

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