Искусственно сгенерированный академический текст (лингвопрагматический аспект)

Abstract

In the process of integrating ‘artificial intelligence’ (AI) technologies into academic discourse, the procedure of writing an academic text is changing, and a new type of communicative interaction is formed – AI as the author of a ‘generated text’ (GТ) and a human being as the recipient of a text from AI. The aim of the study is to substantiate the perception of such a text by the recipient from the point of view of pragmalinguistic analysis on the basis of the identified features and indicators. An analysis of the functioning of artificially generated academic text is presented (5 scientific texts were generated by the Mahtext system). For the first time machine text is considered as an ‘speech act’ in three directions of its realisation: plan of expression, content and prediction. It is revealed that the neural network as a text author cannot transform and convey any attitude to the addressee (recipient), just as it cannot consciously influence him through its texts and have pragmatic intentions. The novelty of the study consists in the following: 1) for the first time we consider not an anthropological text, but an AI text; 2) as a result of pragmalinguistic analysis are revealed 7 main features and 7 indicators of GT; 3) the concept of ‘artificial speech act’ is proposed for the first time.