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Machine Translation In Indian Languages

Deepti Chopra1 , Nisheeth Joshi2 , Iti Mathur3

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-8 , Page no. 863-868, Aug-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i8.863868

Online published on Aug 31, 2018

Copyright © Deepti Chopra, Nisheeth Joshi, Iti Mathur . 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: Deepti Chopra, Nisheeth Joshi, Iti Mathur, “Machine Translation In Indian Languages,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.863-868, 2018.

MLA Style Citation: Deepti Chopra, Nisheeth Joshi, Iti Mathur "Machine Translation In Indian Languages." International Journal of Computer Sciences and Engineering 6.8 (2018): 863-868.

APA Style Citation: Deepti Chopra, Nisheeth Joshi, Iti Mathur, (2018). Machine Translation In Indian Languages. International Journal of Computer Sciences and Engineering, 6(8), 863-868.

BibTex Style Citation:
@article{Chopra_2018,
author = {Deepti Chopra, Nisheeth Joshi, Iti Mathur},
title = {Machine Translation In Indian Languages},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2018},
volume = {6},
Issue = {8},
month = {8},
year = {2018},
issn = {2347-2693},
pages = {863-868},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2786},
doi = {https://doi.org/10.26438/ijcse/v6i8.863868}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i8.863868}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2786
TI - Machine Translation In Indian Languages
T2 - International Journal of Computer Sciences and Engineering
AU - Deepti Chopra, Nisheeth Joshi, Iti Mathur
PY - 2018
DA - 2018/08/31
PB - IJCSE, Indore, INDIA
SP - 863-868
IS - 8
VL - 6
SN - 2347-2693
ER -

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Abstract

Machine Translation (MT) is one of the tasks of Natural Language Processing. It can be used by intellectuals to attain information from the documents written in different languages. In the following paper, we have discussed problems faced in MT in Indian languages, various approaches of MT, limitations of some of the current existing MT Systems and the work that has been done till now in MT in Indian language perspective. We have also discussed performance metrics that are used for evaluation of MT System.

Key-Words / Index Term

Machine Translation, Rule Based Approach, Example Based Approach

References

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