Sentiment analysis is essential in many real-world applications such as stance detection,
review analysis, recommendation system, and so on. Sentiment analysis becomes more …

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 …

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) …

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 …

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 …

Code-mixing is frequently observed in user generated content on social media, especially
from multilingual users. The linguistic complexity of such content is compounded by …

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

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 …

Language identification at the document level has been considered an almost solved
problem in some application areas, but language detectors fail in the social media context …

Code-mixing, the interleaving of two or more languages within a sentence or discourse is
ubiquitous in multilingual societies. The lack of code-mixed training data is one of the major …