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A Review of the Various Approaches for Text to Text Machine Translations

by Abiola O.b, Adetunmbi A.o, Oguntimilehin. A
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 18
Year of Publication: 2015
Authors: Abiola O.b, Adetunmbi A.o, Oguntimilehin. A
10.5120/21325-4278

Abiola O.b, Adetunmbi A.o, Oguntimilehin. A . A Review of the Various Approaches for Text to Text Machine Translations. International Journal of Computer Applications. 120, 18 ( June 2015), 7-12. DOI=10.5120/21325-4278

@article{ 10.5120/21325-4278,
author = { Abiola O.b, Adetunmbi A.o, Oguntimilehin. A },
title = { A Review of the Various Approaches for Text to Text Machine Translations },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 18 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 7-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number18/21325-4278/ },
doi = { 10.5120/21325-4278 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:06:32.389149+05:30
%A Abiola O.b
%A Adetunmbi A.o
%A Oguntimilehin. A
%T A Review of the Various Approaches for Text to Text Machine Translations
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 18
%P 7-12
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Machine translation (MT) is defined as a subfield of computational linguistics that investigates the use of computer software to translate text or speech from one natural language to another. It is a key application in the field of natural language processing. At its basic level, MT performs simple substitution of words in one natural language for words in another. Effort to access documents from one language to another leads to the development of machine translation system which involves lots of heterogeneous features and its implementations. Approaches to machine translations are different and each of this approach has its own benefits and drawbacks. This study looks at the various approaches to machine translations and future needs in order to provide more robust and sensible system in the area of natural language processing which will be resistant and impervious to failure regardless of users' inputs. It is hopeful that researchers in the area of language processing can make use of our valuable improvement and suggestions.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Machine Translation Direct-Based Rule-Based Statistical-Based Hybrid Approach Natural Language Processing

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