Parts of Speech Tagging using Hidden Markov Model

Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/4175

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DC Field	Value	Language
dc.contributor.author	Kumar, Prasun	-
dc.date.accessioned	2022-11-16T10:47:33Z	-
dc.date.available	2022-11-16T10:47:33Z	-
dc.date.issued	2021	-
dc.identifier.uri	https://ir.iimcal.ac.in:8443/jspui/handle/123456789/4175	-
dc.description.abstract	In this article, we are going to learn one of the most important parts of a natural language processing pipeline, Parts of Speech tagging. Due to the complexity of the English language, it's very important that computers learn the context of each word. Parts of speech tagging is used to tag the parts of speech of the words in a sentence based on the context. For example, consider two sentences: 1. The computer is not able to understand languages because it is too dumb. 2. The computer is not able to understand languages because it is too complex.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Students of PGDBA Post Graduate Diploma in Business Analytics, IIM Calcutta	en_US
dc.relation.ispartofseries	Vol.2;	-
dc.subject	Tagging	en_US
dc.subject	Sleeping	en_US
dc.subject	Parts of speech (PoS)	en_US
dc.subject	Markov Model	en_US
dc.title	Parts of Speech Tagging using Hidden Markov Model	en_US
dc.type	Article	en_US
Appears in Collections:	AINA 2.0 - Volume 2 Edition 2020-21

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