Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/4175
Title: Parts of Speech Tagging using Hidden Markov Model
Authors: Kumar, Prasun
Keywords: Tagging
Sleeping
Parts of speech (PoS)
Markov Model
Issue Date: 2021
Publisher: Students of PGDBA Post Graduate Diploma in Business Analytics, IIM Calcutta
Series/Report no.: Vol.2;
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.
URI: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/4175
Appears in Collections:AINA 2.0 - Volume 2 Edition 2020-21

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