The Digital Shift: The Role of Artificial Intelligence in Lexicography and Corpus Linguistics

Abstract

This research article explores the transformative impact of Artificial Intelligence (AI) on the twin fields of lexicography and corpus linguistics. Historically, both disciplines relied heavily on manual labor—lexicographers meticulously drafting definitions and linguists painstakingly tagging texts. The advent of Large Language Models (LLMs), machine learning (ML), and sophisticated Natural Language Processing (NLP) tools has ushered in a "new lens" for linguistic analysis. This paper examines the evolution from manual methods to AI-augmented workflows, focusing on automated sense disambiguation, real-time corpus expansion, and the generation of structured lexicographic data. While AI offers unprecedented speed and scale, the article argues that the role of the human expert is shifting from primary creator to ethical curator and supervisor. Through an analysis of current trends and challenges—including data bias and the "black box" nature of neural networks—the study highlights the synergistic potential of human-AI collaboration in preserving linguistic diversity and mapping the evolution of modern discourse.