396e3d57186c1f28fcb-6af0 20230324021458140 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 05 30 2023 12 1 Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad (Telangana), India Dr. B. V. Kiranmayee https://orcid.org/0000-0002-7387-9592 Palthiya Suresh https://orcid.org/0009-0009-3050-5206 Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad (Telangana), India Raparthi Sai Priya https://orcid.org/0009-0005-6075-6074 Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad (Telangana), India Rayapurthi Vijaya https://orcid.org/0009-0003-7981-5308 Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad (Telangana), India Regulapati Venkat Goutham https://orcid.org/0000-0002-7335-776X Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad (Telangana), India The Dravidian languages are spoken all over the world. Despite their distinctiveness, Dravidian languages haven’t gotten much attention because there aren’t enough resources to handle tasks like translation that require language technology. Since Dravidian languages are largely spoken in southern India, machine translation is necessary. For those who speak these regional languages, this would improve information creation and access. It can be challenging to translate between languages, particularly that of Dravidian, because of lexical divergence, ambiguity, and other, lexical, syntactic and semantic issues. This research looks into a number of machine translation models for different languages, conducts a thorough literature review on the various machine translation techniques from earlier studies, and analyses their methodology. The major objective of this research is to evaluate the viability and effectiveness of a machine translation process for Dravidian languages. 05 30 2023 1 14 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true No, We did not receive. No conflicts of interest to the best of our knowledge. No, the article does not require ethical approval and consent to participate with evidence. Yes, Availability of Data and Material and the research data associated with an article is available in References through links. We confirm that the manuscript has been read and approved by all named authors and that there are no other persons who satisfied the criteria for authorship but are not listed. we further confirm that all authors have equally contributed to this manuscript. 10.35940/ijrte.A7538.0512123 https://www.ijrte.org/portfolio-item/A75380512123/