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 …

Sentiment analysis as a field has come a long way since it was first introduced as a task
nearly 20 years ago. It has widespread commercial applications in various domains like …

The rapid growth of the internet has reached the fourth generation, ie, web 4.0, which
supports Sentiment Analysis (SA) in many applications such as social media, marketing, risk …

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

Code-switching occurs when more than one language is mixed in a given sentence or a
conversation. This phenomenon is more prominent on social media platforms and its …

We present an overview of the second shared task on language identification in code-
switched data. For the shared task, we had code-switched data from two different language …

With the advent of globalization, there is an increasing demand for multilingual automatic
speech recognition (ASR), handling language and dialectal variation of spoken content …

Code-mixed languages are very popular in multilingual societies around the world, yet the
resources lag behind to enable robust systems on such languages. A major contributing …

In developing technologies for code-switched speech, it would be desirable to be able to
predict how much language mixing might be expected in the signal and the regularity with …