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20182024
most citedPreparing Bengali-English Code-Mixed Corpus for Sentiment Analysis of Indian Languages

36 citations · 57 across the 10 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

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.CL2019

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…

cs.CL2019

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…

cs.CL2019

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…

cs.CL2019

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…