activity
20122025
most citedSMT vs NMT: A Comparison over Hindi & Bengali Simple Sentences

11 citations · 26 across the 10 of their papers we have counts for

collaborators

14 papers

cs.CL2025

JU-NLP at Touché: Covert Advertisement in Conversational AI-Generation and Detection Strategies

Arka Dutta, Agrik Majumdar, Sombrata Biswas +2

This paper proposes a comprehensive framework for the generation of covert advertisements within Conversational AI systems, along with robust techniques for their detection. It exp…

cs.CV2020★ 3 cited

A Comprehensive Review on Recent Methods and Challenges of Video Description

Alok Singh, Thoudam Doren Singh, Sivaji Bandyopadhyay

Video description involves the generation of the natural language description of actions, events, and objects in the video. There are various applications of video description by f…

cs.CL2020

JUNLP@Dravidian-CodeMix-FIRE2020: Sentiment Classification of Code-Mixed Tweets using Bi-Directional RNN and Language Tags

Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay

Sentiment analysis has been an active area of research in the past two decades and recently, with the advent of social media, there has been an increasing demand for sentiment anal…

cs.CL2020★ 5 cited

Classifier Combination Approach for Question Classification for Bengali Question Answering System

Somnath Banerjee, Sudip Kumar Naskar, Paolo Rosso +1

Question classification (QC) is a prime constituent of automated question answering system. The work presented here demonstrates that the combination of multiple models achieve bet…

cs.CL2020

Development of POS tagger for English-Bengali Code-Mixed data

Tathagata Raha, Sainik Kumar Mahata, Dipankar Das +1

Code-mixed texts are widespread nowadays due to the advent of social media. Since these texts combine two languages to formulate a sentence, it gives rise to various research probl…

cs.CL2020

Preparation of Sentiment tagged Parallel Corpus and Testing its effect on Machine Translation

Sainik Kumar Mahata, Amrita Chandra, Dipankar Das +1

In the current work, we explore the enrichment in the machine translation output when the training parallel corpus is augmented with the introduction of sentiment analysis. The pap…