Machine translation and its approaches

DOI

10.2991/msc-18.2018.22How to use a DOI?

Keywords

Machine translation, language, rule-based machine translation, corpus-based machine translation, hybrid-based translation.

Abstract

Language is a medium of communication for different cultures around the world. The communication between two cultures is blocked by language barrier. To solve the problem machine translation approach is widely used which is a software used to translate a text or speech from one language to another. It can be referred to as automatic or instant translation as it is much faster in comparison to human translation. Machine translation plays a very important role and in highly applicable in both individual and business areas. The translation system can be either bilingual or multilingual. Most of the machine translation is bidirectional translation which can be either translated from source language to target language or from target language to source language. Otherwise it is unidirectional which can be translated only from source language to target language. It has many approaches for automatic translation of language. This paper focusses on three different approaches, the rule-based machine translation, the corpus-based machine translation and the hybrid-based approach. Each of these approaches has its own pros and cons. We also present several challenges faced in the translation of languages. Also, the metrics for measuring the performance or the accuracy of the machine translation output have been mentioned. There are still several works required to develop completely automatic translation system. The performances of the translation system are still unsatisfactory especially in low resource language. As language is evolutionary in nature, there are still vase areas to cover in machine translation system.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Vanlalmuansangi Khenglawt
AU  - Lalṭanpuia
PY  - 2018/12
DA  - 2018/12
TI  - Machine translation and its approaches
BT  - Proceedings of the Mizoram Science Congress 2018 (MSC 2018) - Perspective and Trends in the Development of Science Education and Research
PB  - Atlantis Press
SP  - 141
EP  - 145
SN  - 2352-5401
UR  - https://doi.org/10.2991/msc-18.2018.22
DO  - 10.2991/msc-18.2018.22
ID  - Khenglawt2018/12
ER  -