The Study of Linguistic in a Pragmatic Approach and Machine Learning

Linguistic irony has been studied from different perspectives, such as rhetoric and literature, but in recent decades it has also been studied from a pragmatic perspective. Questions arise in regards to the different ways of deciphering irony, the roles it serves in different contexts (spoken language, political language, social media, etc.), differences between cultures in the linguistic characteristics of irony and its functions, as well as the question of what are the linguistic anchors used to identify and interpret irony. On this topic of linguistic pillars, modern research is evolving to combine pragmatics and machine learning: is it possible to "teach" machines to recognize irony? To predict in which contexts they will recognize it? What are those connections and what are the linguistic characterizations on which the machine can rely? Is it all the same for different languages? The answers to these questions, even the very act of asking them, contribute to a better understanding of language and its roles in different societies, as well as in the translation of indications and implications.