Artificial Intelligence as a New Lens on Linguistics
DOI:
https://doi.org/10.69760/portuni.0110003Keywords:
artificial intelligence, linguistics, natural language processing, language models, computational linguistics, corpus linguisticsAbstract
This article explores how recent advances in artificial intelligence (AI) are reshaping linguistics by providing new tools, perspectives, and research paradigms. We review the deepening correlation between AI and linguistic science, from historical roots in early computational linguistics to modern neural models. Key methods such as natural language processing (NLP), machine learning, and deep learning have revolutionized corpus analysis, language acquisition studies, and semantic modeling (Groenewald et al., 2024; Incelli, 2025). Researchers have demonstrated that AI can induce human-interpretable grammatical rules from data (Zewe, 2022; Stanford University, 2024). This synergy is bidirectional: linguistic theory offers formal foundations for AI models, while AI opens new horizons for linguistic inquiry (Portelance & Jasbi, 2025; Shormani, 2025). We discuss applications (e.g., corpus exploration, language learning, large language models) and challenges (data bias, ethical concerns) of this AI-driven lens on language (Anthony, 2024; Incelli, 2025). Overall, AI is seen not as replacing human insight but as a “completely new lens” for understanding language structures and use (Shormani, 2025; Portelance & Jasbi, 2025).
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