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Marie: A Statistical Approach to Build a Machine Translation System for English Assamese Language Pair

Abdul Hannan1 , Shikhar Kr. Sarma2 , Zakir Hussain3

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 774-779, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.774779

Online published on Mar 31, 2019

Copyright © Abdul Hannan, Shikhar Kr. Sarma, Zakir Hussain . 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: Abdul Hannan, Shikhar Kr. Sarma, Zakir Hussain, “Marie: A Statistical Approach to Build a Machine Translation System for English Assamese Language Pair,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.774-779, 2019.

MLA Style Citation: Abdul Hannan, Shikhar Kr. Sarma, Zakir Hussain "Marie: A Statistical Approach to Build a Machine Translation System for English Assamese Language Pair." International Journal of Computer Sciences and Engineering 7.3 (2019): 774-779.

APA Style Citation: Abdul Hannan, Shikhar Kr. Sarma, Zakir Hussain, (2019). Marie: A Statistical Approach to Build a Machine Translation System for English Assamese Language Pair. International Journal of Computer Sciences and Engineering, 7(3), 774-779.

BibTex Style Citation:
@article{Hannan_2019,
author = {Abdul Hannan, Shikhar Kr. Sarma, Zakir Hussain},
title = {Marie: A Statistical Approach to Build a Machine Translation System for English Assamese Language Pair},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {774-779},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3915},
doi = {https://doi.org/10.26438/ijcse/v7i3.774779}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.774779}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3915
TI - Marie: A Statistical Approach to Build a Machine Translation System for English Assamese Language Pair
T2 - International Journal of Computer Sciences and Engineering
AU - Abdul Hannan, Shikhar Kr. Sarma, Zakir Hussain
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 774-779
IS - 3
VL - 7
SN - 2347-2693
ER -

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Abstract

The demand of Machine Translation (MT) is increasing due to the increased rate of exchange of information around the globe. Considering Internet as the main channel of information sharing, the source of information is not confined to a specific geographical location and a specific language. MT is the way of translating from one language to another with the help of computer system. The text of source language fed to the system and the system translates it to the target language. Many approaches and tools for those approaches have been developed to achieve better performance in translation. In this paper an n-gram based statistical approach is discussed.

Key-Words / Index Term

Machine Translation, Marie, SMT,n-gram

References

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