We argue that natural language can be usefully described as quasi-compositional and we
suggest that deep learning-based neural language models bear long-term promise to …

Cognitive Neuroscience of Language provides an up-to-date, wide-ranging, and
pedagogically practical survey of the most important developments in this exciting field. It …

Compositionality has been a central concept in linguistics and philosophy for decades, and
it is increasingly prominent in many other areas of cognitive science. Its status, however …

The frontotemporal language network responds robustly and selectively to sentences. But
the features of linguistic input that drive this response and the computations that these …

The integration of word meaning into an unfolding utterance representation is a core
operation of incremental language comprehension. There is considerable debate, however …

Much inquiry in psycholinguistics has focused on evidence from the N400 and P600
components of the event-related potential (ERP) signal—and a central theoretical challenge …

Theories of the electrophysiology of language comprehension are mostly informed by event-
related potential effects observed between condition averages. We here argue that a …

Formal semantics states that the meanings of phrases are composed from the meanings of
constituent parts and syntax. Little is known about how composition is neurally implemented …

In recent years, dependency grammars have established themselves as valuable tools in
theoretical and computational linguistics. To many linguists, dependency grammars and the …

ABSTRACT A central question in neurolinguistics is how the brain computes the meaning of
complex expressions from the meanings of the parts. We investigate adjective–noun …