Alongside huge volumes of research on deep learning models in NLP in the recent years,
there has been much work on benchmark datasets needed to track modeling progress …

Indians and many other non-English speakers across the world, prefer not to use single
code in their messaging texts on social media platforms. They make use of transliteration …

Hate speech detection in social media texts is an important Natural language Processing
task, which has several crucial applications like sentiment analysis, investigating …

Language identification (" LI") is the problem of determining the natural language that a
document or part thereof is written in. Automatic LI has been extensively researched for over …

Recent trends in NLP research have raised an interest in linguistic code-switching (CS);
modern approaches have been proposed to solve a wide range of NLP tasks on multiple …

Code-switching, the alternation of languages within a conversation or utterance, is a
common communicative phenomenon that occurs in multilingual communities across the …

Social media users have the proclivity to write majority of the data for under resourced
languages in code-mixed format. Code-mixing is defined as mixing of two or more …

Code-mixing, use of two or more languages in a single sentence, is ubiquitous; generated
by multi-lingual speakers across the world. The phenomenon presents itself prominently in …

Multilingual question answering (MLQA) is a critical part of an accessible natural language
interface. However, current solutions demonstrate performance far below that of …

Abstract Emotion Prediction is a Natural Language Processing (NLP) task dealing with
detection and classification of emotions in various monolingual and bilingual texts. While …