Evaluation of Hindi to Punjabi Machine Translation System
Vishal Goyal, Gurpreet Singh Lehal

TL;DR
This paper evaluates a Hindi to Punjabi machine translation system, demonstrating an accuracy of approximately 95%, and compares it with a high-accuracy Punjabi to Hindi system to assess performance in closely related Indian languages.
Contribution
The paper provides the first comprehensive evaluation of a Hindi to Punjabi machine translation system, using criteria similar to a recently developed Punjabi to Hindi system.
Findings
System accuracy is approximately 95%.
Evaluation criteria are consistent with Punjabi to Hindi system.
The system performs well for closely related languages.
Abstract
Machine Translation in India is relatively young. The earliest efforts date from the late 80s and early 90s. The success of every system is judged from its evaluation experimental results. Number of machine translation systems has been started for development but to the best of author knowledge, no high quality system has been completed which can be used in real applications. Recently, Punjabi University, Patiala, India has developed Punjabi to Hindi Machine translation system with high accuracy of about 92%. Both the systems i.e. system under question and developed system are between same closely related languages. Thus, this paper presents the evaluation results of Hindi to Punjabi machine translation system. It makes sense to use same evaluation criteria as that of Punjabi to Hindi Punjabi Machine Translation System. After evaluation, the accuracy of the system is found to be about…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNatural Language Processing Techniques · Algorithms and Data Compression · Speech Recognition and Synthesis
