The past decade has seen the rapid development of a new approach to pragmatics that
attempts to integrate insights from formal and experimental semantics and pragmatics …

Humans can learn languages from remarkably little experience. Developing computational
models that explain this ability has been a major challenge in cognitive science. Bayesian …

Speech from unfamiliar talkers can be difficult to comprehend initially. These difficulties tend
to dissipate with exposure, sometimes within minutes or less. Adaptivity in response to …

Recent experimental research has observed two kinds of priming effects on quantity
implicatures. One is the Strong–Weak contrast, where more quantity implicatures are …

Recent debates over adults' theory of mind use have been fueled by surprising failures of
perspective‐taking in communication, suggesting that perspective‐taking may be relatively …

There is extensive evidence that people are sensitive to the statistical patterns of linguistic
elements at the phonological, lexical, and syntactic levels. However, much less is known …

To communicate with new partners in new contexts, humans rapidly form new linguistic
conventions. Recent neural language models are able to comprehend and produce the …

Recent advances in computational cognitive science (ie, simulation-based probabilistic
programs) have paved the way for significant progress in formal, implementable models of …

Variable linguistic environments require the ability to quickly update expectations and
behavior including speech comprehension. This adaptive capacity is key to understanding …

There is substantial variability in the expectations that communication partners bring into
interactions, creating the potential for misunderstandings. To directly probe these gaps and …