The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…

Language is one of the hallmarks of intelligence, demanding explanation in a theory of human cognition. However, language presents unique practical challenges for quantitative empirical research, making many linguistic theories difficult to test at naturalistic scales. Artificial neural network language models (LMs) provide a new tool for studying…

There is a need for a new kind of linguistic theory which, while being concerned with both generation and analysis, must include the roles of memory, non-linguistic knowledge, and inference. The role of logic is diminished according to such a theory because inference has no real logical content. Meaning must be studied with respect to the actual…