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.contributor.authorKumar, Prasun-
dc.date.accessioned2022-11-16T10:47:33Z-
dc.date.available2022-11-16T10:47:33Z-
dc.date.issued2021-
dc.identifier.urihttps://ir.iimcal.ac.in:8443/jspui/handle/123456789/4175-
dc.description.abstractIn 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.isoen_USen_US
dc.publisherStudents of PGDBA Post Graduate Diploma in Business Analytics, IIM Calcuttaen_US
dc.relation.ispartofseriesVol.2;-
dc.subjectTaggingen_US
dc.subjectSleepingen_US
dc.subjectParts of speech (PoS)en_US
dc.subjectMarkov Modelen_US
dc.titleParts of Speech Tagging using Hidden Markov Modelen_US
dc.typeArticleen_US
Appears in Collections:AINA 2.0 - Volume 2 Edition 2020-21

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