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 …

In the third shared task of the Computational Approaches to Linguistic Code-Switching
(CALCS) workshop, we focus on Named Entity Recognition (NER) on code-switched social …

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 …

Code switching is a prevalent phenomenon in the multilingual community and social media
interaction. In the past ten years, we have witnessed an explosion of code switched data in …

Code-switching is the use of more than one language in the same conversation or utterance.
Recently, multilingual contextual embedding models, trained on multiple monolingual …

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 …

Word-level language detection is necessary for analyzing code-switched text, where
multiple languages could be mixed within a sentence. Existing models are restricted to code …

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 …

The mix of native language with other languages (code-mixing) in social media has posed a
severe challenge for language identification (LID) systems. It has encouraged research on …