Analyzing explicit and clear sentiment is challenging owing to the growing use of
emblematic and multilingual language constructs. This research proposes sarcasm …

A sweeping account of the global rise of English and the high-stakes politics of language
Spoken by a quarter of the world's population, English is today's lingua franca--its common …

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 …

Sarcasm is the acerbic use of words to mock someone or something, mostly in a satirical
way. Scandal or mockery is used harshly, often crudely and contemptuously, for destructive …

During the last three decades, scientists in formal and natural sciences have been
proposing models of language competition. Such models could prove instrumental in …

This thesis presents Bharathi Raja Asoka Chakravarthi's work on machine translation for
underresourced languages. As the internet becomes increasingly available to the whole …

Automatic detection of cyberbullying in social media content is a natural language
understanding and generic text classification task. The cultural diversities, country-specific …

We compare three existing bilingual word embedding approaches, and a novel approach of
training skip-grams on synthetic code-mixed text generated through linguistic models of …

In this paper, we translate the glosses in the English WordNet based on the expand
approach for improving and generating wordnets with the help of multilingual neural …

It has been declared by the World Health Organization (WHO) the novel coronavirus a
global pandemic due to an exponential spread in COVID-19 in the past months reaching …