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 …

In this paper, we present the results of the SemEval-2020 Task 9 on Sentiment Analysis of
Code-Mixed Tweets (SentiMix 2020). We also release and describe our Hinglish (Hindi …

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 …

NLP research is impeded by a lack of resources and awareness of the challenges presented
by underrepresented languages and dialects. Focusing on the languages spoken in …

Recently, there is increasing interest in multilingual automatic speech recognition (ASR)
where a speech recognition system caters to multiple low resource languages by taking …

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 …

Offensive content moderation is vital in social media platforms to support healthy online
discussions. However, their prevalence in codemixed Dravidian languages is limited to …

The analysis of data in which multiple languages are represented has gained popularity
among computational linguists in recent years. So far, much of this research focuses mainly …

Automatic Speech Recognition (ASR) researchers are turning their attention towards
supporting low-resource languages, such as isiXhosa or Marathi, with only limited training …

We live in a world where 60% of the population can speak two or more languages fluently.
Members of these communities constantly switch between languages when having a …