no code implementations • WMT (EMNLP) 2020 • Amit Kumar, Rupjyoti Baruah, Rajesh Kumar Mundotiya, Anil Kumar Singh
This paper reports the results for the Machine Translation (MT) system submitted by the NLPRL team for the Hindi – Marathi Similar Translation Task at WMT 2020.
no code implementations • EMNLP (WNUT) 2020 • Rajesh Kumar Mundotiya, Rupjyoti Baruah, Bhavana Srivastava, Anil Kumar Singh
The Coronavirus pandemic has been a dominating news on social media for the last many months.
no code implementations • AACL (WAT) 2020 • Rupjyoti Baruah, Rajesh Kumar Mundotiya
In this manuscript, we (team name is NLPRL) describe systems description that was submitted to the translation shared tasks at WAT 2020.
no code implementations • WMT (EMNLP) 2020 • Rupjyoti Baruah, Rajesh Kumar Mundotiya, Amit Kumar, Anil Kumar Singh
This paper describes the results of the system that we used for the WMT20 very low resource (VLR) supervised MT shared task.
no code implementations • 3 Mar 2023 • Amit Kumar, Rupjyoti Baruah, Ajay Pratap, Mayank Swarnkar, Anil Kumar Singh
If the evaluation is as rigorous as resource-rich languages, both Neural Machine Translation (NMT) and Statistical Machine Translation (SMT) can produce good results with such large amounts of data.