The Role of Artificial Intelligence in Advancing Linguistic Research: Opportunities and Challenges
Keywords:
Artificial Intelligence, Linguistic Research, Natural Language Processing (NLP), Machine Learning, Speech Recognition.Abstract
Artificial Intelligence (AI) is rapidly transforming the landscape of linguistic research, offering new tools for analyzing, understanding, and preserving languages. This article explores the role of AI in advancing linguistic research, highlighting key opportunities such as enhanced automated language processing, the development of sophisticated language models, cross-linguistic studies, and improved speech recognition technologies. AI also holds promise in supporting linguistic diversity through the documentation of endangered languages and the creation of digital resources. However, challenges such as data bias, loss of linguistic nuance, ethical concerns, and over-reliance on AI models remain. Addressing these challenges is crucial for ensuring that AI can be used responsibly and effectively in linguistic research. The article emphasizes the importance of a balanced approach, where AI complements human expertise while fostering deeper insights into the complexities of language.
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