Psycholinguistics, Corpus Linguistics, and Text Analytics: Potential for Interaction

Abstract

This article explores the possibilities of interaction between psycholinguistics, corpus linguistics, and text mining. When it comes to big data processing, the recent advances in psycholinguistics must be taken into account. In our digital reality, we should no longer view text as a mere sum of individual language units that are assembled based on their similarities in meaning. The insights of psycholinguistics into text have been revised, as in-depth text analysis unravels the new roles of the sender and the recipient, bringing to the fore qualitative methods for processing large data arrays. Without studying the mechanisms of speech generation and perception, it is impossible to improve language neural networks and machine translation engines. Here, the potential of psycholinguistics for training specialists in text analytics is discussed. As an example, the advantages of integrating the disciplines “Psycholinguistics” and “Psycholinguistic Methods for Studying Language and Text” into the psychological and linguistic module of the Master’s program “Text Analytics in Education and Science”, which has been launched at Kazan Federal University (Russia), are shown. The psycholinguistic component of the discipline “Corpus Linguistics” for Master’s students is described.