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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Parts of Speech using Hidden Markov models.pdf | Parts of Speech Tagging using Hidden Markov Model | 803.99 kB | Adobe PDF |  View/Open |
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