Lexical Feature
Lexical features, encompassing word choice, meaning, and grammatical structure, are central to understanding language processing and variation. Current research focuses on leveraging these features for tasks such as dialect classification, authorship attribution, and the detection of neurological disorders through speech analysis, often employing large language models (LLMs) like BERT and novel algorithms like Integrated Gradients for enhanced interpretability. These advancements have significant implications for diverse fields, including computational linguistics, clinical diagnostics, and the preservation of endangered languages through automated linguistic analysis.
Papers
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