Study of Part of Speech Tagging

Ramesh, Vaditya (2015) Study of Part of Speech Tagging. BTech thesis.



In the area of text mining, Natural Language Processing is a risingeld. So if a sentence is an unstructured to make it a suitable organized organization.Grammatical feature Tagging is one of the preprocessing steps which perform semantic examination. Parts of Speech labeling appoints the suitable grammatical feature and the lexical classication to each word in the sentence in Natural dialect. It is one of the key undertakings of Natural Language Preparing. Parts of Speech labelling is thirst venture taking after which dierent procedures as in chunking, parsing, named substance acknowledgment and so on. An adjustment of di
erent machine learning strategies are connected in particular Unigram Model and Hidden Markov Model (HMM). The huge focuses realized by thesis can be highlighted below: Use of Unigram and Hidden Markov Model for parts of Speech Tagging and analyzing their performance

Item Type:Thesis (BTech)
Uncontrolled Keywords:Brown Corpus, POS Tagger, Unigram Model and Hidden Markov
Subjects:Engineering and Technology > Computer and Information Science > Data Mining
Divisions: Engineering and Technology > Department of Computer Science
ID Code:7240
Deposited By:Mr. Sanat Kumar Behera
Deposited On:25 Mar 2016 17:35
Last Modified:25 Mar 2016 17:35
Supervisor(s):Mahapatra, R K

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