Linguistic Analysis

Linguistic analysis uses computational methods to understand and model human language, aiming to uncover its structure, meaning, and use in various contexts. Current research focuses on applying and improving large language models (LLMs) like BERT, along with techniques like integrated gradients and linguistic inquiry and word count, for tasks such as analyzing speech patterns in neurological disorders and identifying deception in online text. This work is crucial for advancing natural language processing (NLP) applications, improving the interpretability of LLMs, and providing valuable resources for linguistic research across diverse languages and domains.