DATA-DRIVEN LANGUAGE INTELLIGENCE: INTEGRATING CORPUS LINGUISTICS WITH MACHINE LEARNING FOR ADVANCED LINGUISTIC ANALYSIS
https://doi.org/10.5281/zenodo.19780901
Kalit so‘zlar
Corpus linguistics, machine learning, artificial intelligence, natural language processing, language modeling, computational linguistics, deep learning, semantic analysis, text mining, linguistic dataAnnotasiya
This paper explores the integration of corpus linguistics and machine learning in artificial intelligence, emphasizing their role in large-scale language analysis and modeling. It examines theoretical foundations, computational techniques, semantic representation, and real-world applications while addressing methodological, ethical, and technological challenges.
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