Jayendra Rakesh Yeka
Benchmarking of English-Hindi parallel corpora
Jayendra Rakesh Yeka | Prasanth Kolachina | Dipti Misra Sharma
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
In this paper we present several parallel corpora for EnglishâHindi and talk about their natures and domains. We also discuss briefly a few previous attempts in MT for translation from English to Hindi. The lack of uniformly annotated data makes it difficult to compare these attempts and precisely analyze their strengths and shortcomings. With this in mind, we propose a standard pipeline to provide uniform linguistic annotations to these resources using state-of-art NLP technologies. We conclude the paper by presenting evaluation scores of different statistical MT systems on the corpora detailed in this paper for EnglishâHindi and present the proposed plans for future work. We hope that both these annotated parallel corpora resources and MT systems will serve as benchmarks for future approaches to MT in EnglishâHindi. This was and remains the main motivation for the attempts detailed in this paper.