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Natural language processing: A review.

Authors :
Gangal, Anushka
Shrivastava, Ayush
Hussien, Nadia Mahmood
Singh, Prabhishek
Diwakar, Manoj
Joshi, Kapil
Bisht, Sapna
Joshi, Naveen Chandra
Source :
AIP Conference Proceedings; 2023, Vol. 2771 Issue 1, p1-7, 7p
Publication Year :
2023

Abstract

Natural language processing (NLP) has received a great deal of attention for its computer representation and evaluation of human language. AI, email spam location, data extraction, once-finished, clinical, and question addressing are only a couple of the applications. The article is broken into four areas, with the first talking about different degrees of NLP and parts of Natural LanguageGeneration (NLG), trailed by the arrangement of encounters and improvement of NLP, the high level, new things, and weights, and future expansion. We'll also look at the tools and methods utilized in Natural Language Processing, as well as how these procedures work when we apply them. The single correlation between operations and how each approach performs. Regular language handling has not yet attained flawlessness, although continued progress in this field can certainly approach the line of flawlessness. Today, numerous AIs recognize and respond to consumer voice directions using typical language handling calculations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
2771
Issue :
1
Database :
Complementary Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
171344645
Full Text :
https://doi.org/10.1063/5.0153960