Machine Translation (MT) Techniques for Indian Languages
S. Anbukkarasi1, S. Varadhaganapathy2
1S. Anbukkarasi, Assistant Professor, Nandha Engineering College, Erode (Tamil Nadu), India.
2S. Varadhaganapathy, Professor, Department of Information Technology, Kongu Engineering College, Erode (Tamil Nadu), India.
Manuscript received on 02 July 2019 | Revised Manuscript received on 12 August 2019 | Manuscript Published on 27 August 2019 | PP: 86-90 | Volume-8 Issue-2S4 July 2019 | Retrieval Number: B10150782S419/2019©BEIESP | DOI: 10.35940/ijrte.B1015.0782S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Machine Translation (MT) is the process of converting the text from one language (source) to another language (TL). MT draws the idea of linguistics, computer science, artificial intelligence, sociology, psychology etc. The linguistically rich country like India has the demand to develop a full-fledged MT system to convert the text across different languages. Though the research has been made on MT for the past 60 years, still it is considered to be a challenging task. Building a fully automatic MT system is extremely difficult. This paper deals with the various ideas in MT systems for Indian Languages. Advantages and limitations of some of the important Dravidian Language translation systems developed using MT techniques are discussed.
Keywords: Machine Translation, Rule based, Transfer based.
Scope of the Article: Machine Learning