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2021 | OriginalPaper | Chapter

Parts of Speech (POS) Tagging for Dogri Language

Authors : Shivangi Dutta, Bhavna Arora

Published in: Proceedings of Second International Conference on Computing, Communications, and Cyber-Security

Publisher: Springer Singapore

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Abstract

Parts of speech tagging is an important activity of natural language processing, information extraction, language translation, speech synthesis, question understanding and many more. Parts of speech tagging is basically the problem of assigning the parts of speech tags to the words in the text. As per English grammar, there are many parts of speech tags such as noun, adjective, pronoun, verb, adverb, preposition, conjunction and interjection. The methods of assigning tags to words are categorized into rule-based, stochastic and hybrid approach. In this paper, a rule-based parts of speech tagger for Dogri (regional language of Jammu) language along with the algorithm and the modular structure of the system is presented. The proposed system is evaluated over a number of corpus with six different parts of speech tags for Dogri, and hence, the evaluation is done on five datasets of Dogri corpus, and the corresponding results are also demonstrated in the paper.

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Metadata
Title
Parts of Speech (POS) Tagging for Dogri Language
Authors
Shivangi Dutta
Bhavna Arora
Copyright Year
2021
Publisher
Springer Singapore
Book
Proceedings of Second International Conference on Computing, Communications, and Cyber-Security

Print ISBN: 978-981-16-0732-5

Electronic ISBN: 978-981-16-0733-2

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-16-0733-2_37