DIGITAL LINGUISTICS: ANALYSIS AND TRANSLATION PROCESSES THROUGH ARTIFICIAL INTELLIGENCE
https://doi.org/10.5281/zenodo.15590449
Kalit so‘zlar
Artificial Intelligence, digital linguistics, neural machine translation, deep learning, language analysis, ethics, multilingualismAnnotasiya
This article examines how Artificial Intelligence (AI) is transforming digital linguistics, with particular focus on language analysis and translation processes. It explores how AI-driven tools are increasingly used in linguistic research, corpus analysis, and real-time language processing. It traces developments from early rule-based systems to contemporary neural machine translation, identifying key breakthroughs such as statistical models, deep learning architectures, and transformer-based technologies, while also addressing persistent challenges including contextual ambiguity, idiomatic expression translation, and low-resource language limitations. The research highlights the crucial relationship between human expertise and AI capabilities, emphasizing the importance of human oversight in training, validating, and interpreting AI systems.
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