Understanding language requires readers and listeners to cull meaning from fast-unfolding
messages that often contain conflicting cues pointing to incompatible ways of interpreting …

Word co‐occurrence patterns in language corpora contain a surprising amount of
conceptual knowledge. Large language models (LLMs), trained to predict words in context …

Despite its many twists and turns, the arc of cognitive science generally bends toward
progress, thanks to its interdisciplinary nature. By glancing at the last few decades of …

Ellipsis is a linguistic phenomenon characterized by the omission of one or more sentence
elements. Solving such a linguistic construction is not a trivial issue in natural language …

Distributional semantic models (DSMs) are a primary method for distilling semantic
information from corpora. However, a key question remains: What types of semantic …

A long-standing debate in the sentence processing literature concerns the time course of
syntactic and semantic information processing in online sentence comprehension. The …

In two visual-world eye-tracking experiments, we explore the extent to which conflicting first-
language (L1) based grammatical parses influence second-language (L2) learners' on-line …

Recent advances in large language models have prompted researchers to examine their
abilities across a variety of linguistic tasks, but little has been done to investigate how …

This thesis analyses the way in which ambiguity is cognitively processed, in translation in
general and post-editing in particular, drawing inferences from psycholinguistics …

Word processing entails retrieval of a unitary yet multidimensional semantic representation
(eg, a lemon's colour, flavour, possible use) and has been investigated in both cognitive …