Large Language Models (LLMs) went from non-existent to ubiquitous in the machine
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …

Our ability to comprehend and produce language is one of humans' most impressive skills,
but it is not flawless. We must convey and interpret messages via a noisy channel in ever …

We introduce a new type of test, called a Turing Experiment (TE), for evaluating to what
extent a given language model, such as GPT models, can simulate different aspects of …

A machine learning system can score well on a given test set by relying on heuristics that
are effective for frequent example types but break down in more challenging cases. We …

With a growing interest in heritage languages from researchers of bilingualism and linguistic
theory, the field of heritage-language studies has begun to build on its empirical …

Memory is fleeting. New material rapidly obliterates previous material. How, then, can the
brain deal successfully with the continual deluge of linguistic input? We argue that, to deal …

Reading is a highly complex skill that is prerequisite to success in many societies in which a
great deal of information is communicated in written form. Since the 1970s, much has been …

The Psychology of Language is a thorough revision and update of the popular second
edition. It contains everything the student needs to know about the psychology of language …

My goal in writing this book has been to convey the principles and issues of
psycholinguistics in a straightforward and accessible manner. The field, although principally …

People comprehend utterances rapidly and without conscious effort. Traditional theories
assume that sentence processing is algorithmic and that meaning is derived …