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 …

Understanding the sentiment of a comment from a video or an image is an essential task in
many applications. Sentiment analysis of a text can be useful for various decision-making …

Though dialectal language is increasingly abundant on social media, few resources exist for
developing NLP tools to handle such language. We conduct a case study of dialectal …

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 …

Abstract Language is a social phenomenon and variation is inherent to its social nature.
Recently, there has been a surge of interest within the computational linguistics (CL) …

There is an increasing demand for sentiment analysis of text from social media which are
mostly code-mixed. Systems trained on monolingual data fail for code-mixed data due to the …

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 …

Training language models for Code-mixed (CM) language is known to be a difficult problem
because of lack of data compounded by the increased confusability due to the presence of …