Kristopher Kyle - Advances in Natural Language Processing for Language Assessment and Research: Exploring the Potential of Large Language Models for Evaluating Language Use and Proficiency
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Professor Christopher Tyne's lecture covers 50 years of advancements in Natural Language Processing (NLP), focusing on Large Language Models (LLMs) and their implications for language assessment, research, and applications. The course discusses the concept of validity in language assessment, highlighting its importance in understanding the development and evaluation of language assessments that utilize NLP and LLMs. It explores the evolution of assessment methods, including automatic assessment tools, and the potential of LLMs to evaluate language skills, such as academic writing proficiency.