activity
20182026
most citedPreparing Bengali-English Code-Mixed Corpus for Sentiment Analysis of Indian Languages

36 citations · 80 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CL2026

Adaptive Filtering of the KV Cache: Diagnosing and Correcting Structural-Role Bias in LLM Inference

Soumil Mandal

Attention-based KV cache eviction (H2O and its descendants) compresses the memory-constrained state of a long-context model by ranking tokens on accumulated attention mass, treated…

cs.CL2021★ 2 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.CV2020★ 2 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.CL2018★ 11 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…

cs.CL2018★ 1 cited

Normalization of Transliterated Words in Code-Mixed Data Using Seq2Seq Model & Levenshtein Distance

Soumil Mandal, Karthick Nanmaran

Building tools for code-mixed data is rapidly gaining popularity in the NLP research community as such data is exponentially rising on social media. Working with code-mixed data co…

cs.CL2018★ 36 cited

Preparing Bengali-English Code-Mixed Corpus for Sentiment Analysis of Indian Languages

Soumil Mandal, Sainik Kumar Mahata, Dipankar Das

Analysis of informative contents and sentiments of social users has been attempted quite intensively in the recent past. Most of the systems are usable only for monolingual data an…

cs.CL2018★ 16 cited

Language Identification of Bengali-English Code-Mixed data using Character & Phonetic based LSTM Models

Soumil Mandal, Sourya Dipta Das, Dipankar Das

Language identification of social media text still remains a challenging task due to properties like code-mixing and inconsistent phonetic transliterations. In this paper, we prese…

cs.CL2018★ 12 cited

Analyzing Roles of Classifiers and Code-Mixed factors for Sentiment Identification

Soumil Mandal, Dipankar Das

Multilingual speakers often switch between languages to express themselves on social communication platforms. Sometimes, the original script of the language is preserved, while usi…