activity
20182021
most citedSMT vs NMT: A Comparison over Hindi & Bengali Simple Sentences

11 citations · 15 across the 3 of their papers we have counts for

collaborators

9 papers

cs.CL20212 cited

AdvCodeMix: Adversarial Attack on Code-Mixed Data

Sourya Dipta Das, Ayan Basak, Soumil Mandal +1

Research on adversarial attacks are becoming widely popular in the recent years. One of the unexplored areas where prior research is lacking is the effect of adversarial attacks on…

cs.CV20202 cited

Team Neuro at SemEval-2020 Task 8: Multi-Modal Fine Grain Emotion Classification of Memes using Multitask Learning

Sourya Dipta Das, Soumil Mandal

In this article, we describe the system that we used for the memotion analysis challenge, which is Task 8 of SemEval-2020. This challenge had three subtasks where affect based sent…

cs.CL2019

Code-Mixed to Monolingual Translation Framework

Sainik Kumar Mahata, Soumil Mandal, Dipankar Das +1

The use of multilingualism in the new generation is widespread in the form of code-mixed data on social media, and therefore a robust translation system is required for catering to…

cs.CL201811 cited

SMT vs NMT: A Comparison over Hindi & Bengali Simple Sentences

Sainik Kumar Mahata, Soumil Mandal, Dipankar Das +1

In the present article, we identified the qualitative differences between Statistical Machine Translation (SMT) and Neural Machine Translation (NMT) outputs. We have tried to answe…

cs.CL2018

Strategies for Language Identification in Code-Mixed Low Resource Languages

Soumil Mandal, Sankalp Sanand

In recent years, substantial work has been done on language tagging of code-mixed data, but most of them use large amounts of data to build their models. In this article, we presen…

cs.CL2018

Language Identification in Code-Mixed Data using Multichannel Neural Networks and Context Capture

Soumil Mandal, Anil Kumar Singh

An accurate language identification tool is an absolute necessity for building complex NLP systems to be used on code-mixed data. Lot of work has been recently done on the same, bu…