11 citations · 12 across the 4 of their papers we have counts for
11 papers
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…