36 citations · 57 across the 10 of their papers we have counts for
12 papers
Security Threats in Agentic AI System
Raihan Khan, Sayak Sarkar, Sainik Kumar Mahata +1
This research paper explores the privacy and security threats posed to an Agentic AI system with direct access to database systems. Such access introduces significant risks, includ…
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…
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…
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…
JUNLP@SemEval-2020 Task 9:Sentiment Analysis of Hindi-English code mixed data using Grid Search Cross Validation
Avishek Garain, Sainik Kumar Mahata, Dipankar Das
Code-mixing is a phenomenon which arises mainly in multilingual societies. Multilingual people, who are well versed in their native languages and also English speakers, tend to cod…
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…
JUMT at WMT2019 News Translation Task: A Hybrid approach to Machine Translation for Lithuanian to English
Sainik Kumar Mahata, Avishek Garain, Adityar Rayala +2
In the current work, we present a description of the system submitted to WMT 2019 News Translation Shared task. The system was created to translate news text from Lithuanian to Eng…
JUCBNMT at WMT2018 News Translation Task: Character Based Neural Machine Translation of Finnish to English
Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay
In the current work, we present a description of the system submitted to WMT 2018 News Translation Shared task. The system was created to translate news text from Finnish to Englis…
Sentiment Analysis at SEPLN (TASS)-2019: Sentiment Analysis at Tweet level using Deep Learning
Avishek Garain, Sainik Kumar Mahata
This paper describes the system submitted to "Sentiment Analysis at SEPLN (TASS)-2019" shared task. The task includes sentiment analysis of Spanish tweets, where the tweets are in…
Normalyzing Numeronyms -- A NLP approach
Avishek Garain, Sainik Kumar Mahata, Subhabrata Dutta
This paper presents a method to apply Natural Language Processing for normalizing numeronyms to make them understandable by humans. We approach the problem through a two-step mecha…
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…
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…