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Natural Language Processing

Aditya Jain1 , Gandhar Kulkarni2 , Vraj Shah3

  1. Department of Computer Engineering, SVKM’s NMIMS MPSTME Shirpur, Maharashtra, India.
  2. Department of Computer Engineering, SVKM’s NMIMS MPSTME Shirpur, Maharashtra, India.
  3. Department of Computer Engineering, SVKM’s NMIMS MPSTME Shirpur, Maharashtra, India.

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-1 , Page no. 161-167, Jan-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i1.161167

Online published on Jan 31, 2018

Copyright © Aditya Jain, Gandhar Kulkarni, Vraj Shah . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Aditya Jain, Gandhar Kulkarni, Vraj Shah, “Natural Language Processing,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.1, pp.161-167, 2018.

MLA Style Citation: Aditya Jain, Gandhar Kulkarni, Vraj Shah "Natural Language Processing." International Journal of Computer Sciences and Engineering 6.1 (2018): 161-167.

APA Style Citation: Aditya Jain, Gandhar Kulkarni, Vraj Shah, (2018). Natural Language Processing. International Journal of Computer Sciences and Engineering, 6(1), 161-167.

BibTex Style Citation:
@article{Jain_2018,
author = {Aditya Jain, Gandhar Kulkarni, Vraj Shah},
title = {Natural Language Processing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2018},
volume = {6},
Issue = {1},
month = {1},
year = {2018},
issn = {2347-2693},
pages = {161-167},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1652},
doi = {https://doi.org/10.26438/ijcse/v6i1.161167}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i1.161167}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1652
TI - Natural Language Processing
T2 - International Journal of Computer Sciences and Engineering
AU - Aditya Jain, Gandhar Kulkarni, Vraj Shah
PY - 2018
DA - 2018/01/31
PB - IJCSE, Indore, INDIA
SP - 161-167
IS - 1
VL - 6
SN - 2347-2693
ER -

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Abstract

Natural language processing is widely discussed and researched topic nowadays. As it is one of the oldest area of research in machine learning it is used in major fields such as machine translation speech recognition and text processing. Natural language processing has brought major breakthrough in the field of computation and AI. Various algorithms used for Natural language processing are mainly dependent on the recurrent neural network. Different text and speech processing algorithm are discussed in this review paper and their working is explained with examples. Results of various algorithms show the development done in this field over past decade or so. We have tried to differentiate between various algorithms and also its future scope of research. The Gap analysis between different algorithms is mentioned in the paper as well as the application of these various algorithms is also explained. Natural language processing has not attained perfection till date but continuous improvement done is the field can surely touch the perfection line. Different AI now use natural language processing algorithms to recognize and process the voice command given by user.

Key-Words / Index Term

EOS: End of sentence, GO: Start decoding, PAD: Filler, Seq2Seq, UNK: Unknown; word not in vocabulary

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