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MRI India Journals Vol. 15 No. 1S (2026): Special Issue on Cognition, Human and Artificial Intelligence

Kurukh to Hindi Translation: A Review of Methods, Challenges and Future Directions

Authors

  • Ramesh Raj Dhruwe Research Scholar, School of Studies in Computer Science and IT, Pt. Ravishankar Shukla University Raipur, India
  • Sanjay Kumar Professor, School of Studies in Computer Science & IT, Pt. Ravishankar Shukla University Raipur, India
  • Vaishali Sarde Assistant Professor, Govt. J.Yoganandam Chhattisgarh College Raipur, India

DOI:

https://doi.org/10.65521/ijaece.v15i1S.1371

Keywords:

Kurukh Machine Translation Natural Language Processing Low Resource Language Machine Translation

Abstract

Many languages ​​have become extinct in the world today; the extinction of languages ​​is an unfortunate challenge, as the knowledge and culture embedded in those languages ​​also disappear. It is impossible for any human being to know all languages. The development of machine translation is a solution to overcome this limitation. Machine translation is a field of artificial intelligence and natural language processing that facilitates communication by translating from one language to another using machine translation systems. After translation, the quality of the translated output can be measured using evaluation strategies to determine whether it is of human translation quality, thus measuring its accuracy. This paper is a review of the work done on evaluating Kurukh a tribal and low-resource language machine translation challenges and future directions.

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Published

2026-01-19

How to Cite

Dhruwe, R. R., Kumar, S., & Sarde, V. (2026). Kurukh to Hindi Translation: A Review of Methods, Challenges and Future Directions. International Journal on Advanced Electrical and Computer Engineering, 15(1S), 303–313. https://doi.org/10.65521/ijaece.v15i1S.1371

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