Big semi-structured data & deep ANN in computational linguistics

Abstract

Modern linguistics is experiencing a qualitative shift due to the active implementation of big data processing technologies and artificial neural networks. This paradigm shift is fueled by huge arrays of digital texts, particularly Big Semi-Structured Data (e.g., emails and social media posts), which combines flexibility with elements of organization. Deep artificial neural networks are a key tool for analyzing these resources, allowing to model complex dependencies and automate tasks such as machine translation, speech recognition and text generation. The integration of big data and artificial intelligence forms a new research paradigm that shifts the emphasis from static description to dynamic modeling and prediction of linguistic phenomena, increasing the interdisciplinarity and applied potential of linguistics.