1 citations · 1 across the 3 of their papers we have counts for
3 papers
A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning
Ramakrishna Appicharla, Baban Gain, Santanu Pal +2
In document-level neural machine translation (DocNMT), multi-encoder approaches are common in encoding context and source sentences. Recent studies \cite{li-etal-2020-multi-encoder…
TRAVID: An End-to-End Video Translation Framework
Prottay Kumar Adhikary, Bandaru Sugandhi, Subhojit Ghimire +2
In today's globalized world, effective communication with people from diverse linguistic backgrounds has become increasingly crucial. While traditional methods of language translat…
A Case Study on Context Encoding in Multi-Encoder based Document-Level Neural Machine Translation
Ramakrishna Appicharla, Baban Gain, Santanu Pal +1
Recent studies have shown that the multi-encoder models are agnostic to the choice of context, and the context encoder generates noise which helps improve the models in terms of BL…