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Pre-processing in the context of natural language resources for Hindi lessons

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Title Pre-processing in the context of natural language resources for Hindi lessons
 
Creator Kishanpuri, Anjana
Yadav, Dhirendra
Petkar, Harshalata
 
Description 135-141
Nowadays, text data in digital format of online and offline mode is increasing rapidly, it becomes difficult to manage and retrieve the text
documents. Natural language processing (NLP) is highly dependent on efficient pre-processing of text documents such as archival, retrieval,
query response, text summarization, machine translation, etc.This specialized area of natural language processing has led inspired researchers to
do apply machine learning algorithms to automatically pre-process documents based on languages, developing methods to process documents
based on their context.Under the present research paper, a pre-processing application has been proposed in the context of natural language
processing. Pre-processing is an important function in text mining, natural language processing (NLP), and information retrieval (IR). However,
no raw text data can be worked on without pre-processing. Text pre-processing ensures optimum results when executed properly. In the field of
natural language processing, text pre-processing is used to extract interesting and knowledgeable information from unstructured textual data.This
paper proposes a pre-processing application for the Hindi legal domain to provide a comprehensive and useful understanding of important
linguistic processes such as normalization, tokenization, stop word removal and stemming.
 
Date 2023-11-28T08:16:39Z
2023-11-28T08:16:39Z
2023-11
 
Type Article
 
Identifier 0975-2412 (Online); 0971-7706 (Print)
http://nopr.niscpr.res.in/handle/123456789/62973
https://doi.org/10.56042/bvaap.v31i2.6388
 
Language en
 
Publisher NIScPR-CSIR,India
 
Source BVAAP Vol.31(2) [September 2023]