1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2023
Machine Translation by Projecting Text into the Same Phonetic-Orthographic Space Using a Common Encoding
Amit Kumar, Shantipriya Parida, Ajay Pratap +1
The use of subword embedding has proved to be a major innovation in Neural Machine Translation (NMT). It helps NMT to learn better context vectors for Low Resource Languages (LRLs)…
cs.CL2023
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning
Amit Kumar, Ajay Pratap, Anil Kumar Singh
Generative Adversarial Networks (GAN) offer a promising approach for Neural Machine Translation (NMT). However, feeding multiple morphologically languages into a single model durin…
cs.CL2023★ 1 cited
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques
Amit Kumar, Rupjyoti Baruah, Ajay Pratap +2
One of the significant challenges of Machine Translation (MT) is the scarcity of large amounts of data, mainly parallel sentence aligned corpora. If the evaluation is as rigorous a…