activity
20152026
most citedStatistical Machine Translation for Indic Languages

11 citations · 13 across the 6 of their papers we have counts for

collaborators

6 papers

cs.IR2026

A Counterfactual Approach for Addressing Individual User Unfairness in Collaborative Recommender System

Nikita Baidya, Bidyut Kr. Patra, Ratnakar Dash

Recommender Systems (RSs) are exploited by various business enterprises to suggest their products (items) to consumers (users). Collaborative filtering (CF) is a widely used varian…

cs.CL2025

Comparative analysis of subword tokenization approaches for Indian languages

Sudhansu Bala Das, Samujjal Choudhury, Tapas Kumar Mishra +1

Tokenization is the act of breaking down text into smaller parts, or tokens, that are easier for machines to process. This is a key phase in machine translation (MT) models. Subwor…

cs.CL2024★ 1 cited

An approach for mistranslation removal from popular dataset for Indic MT Task

Sudhansu Bala Das, Leo Raphael Rodrigues, Tapas Kumar Mishra +1

The conversion of content from one language to another utilizing a computer system is known as Machine Translation (MT). Various techniques have come up to ensure effective transla…

cs.CL2023

Multilingual Neural Machine Translation System for Indic to Indic Languages

Sudhansu Bala Das, Divyajyoti Panda, Tapas Kumar Mishra +2

This paper gives an Indic-to-Indic (IL-IL) MNMT baseline model for 11 ILs implemented on the Samanantar corpus and analyzed on the Flores-200 corpus. All the models are evaluated u…

cs.CL2023★ 11 cited

Statistical Machine Translation for Indic Languages

Sudhansu Bala Das, Divyajoti Panda, Tapas Kumar Mishra +1

Machine Translation (MT) system generally aims at automatic representation of source language into target language retaining the originality of context using various Natural Langua…

cs.IR2015★ 1 cited

A Complex Network Approach for Collaborative Recommendation

Ranveer Singh, Bidyut Kr. Patra, Bibhas Adhikari

Collaborative filtering (CF) is the most widely used and successful approach for personalized service recommendations. Among the collaborative recommendation approaches, neighborho…