Lexical semantics trumps syntax during noun composition in predication and modification contexts: Insights from the N400 and alpha and beta band synchronization

DOI

Compositionality is the thesis that the meanings of complex expressions are derived from the meanings of their constituent parts and syntactic structure. Questions arise on the relative impact of lexical semantics vs syntax on composition and whether a single vs multiple composition operations are applied. Here, we use a new experimental paradigm to study how syntactic mode of composition (predication vs modification) and lexical semantic properties of the words combined (different adjective classes) influence EEG signals. We compared nouns in sentences composing with a verb (predication) or an adjective (modification) against conditions in which the same noun and adjective, or verb, were separated by a syntactic boundary, preventing composition locally. ERPs and oscillatory responses were modulated primarily by the lexical semantic properties of the words combined, and not by the syntactic mode of composition. N400 amplitudes were larger for nouns after verbs and privative adjectives (e.g., ‘fake’), relative to intersective or subsective adjectives. Alpha and beta band responses were also more prominent after verbs, followed by privative adjectives, subsective adjectives, and intersective adjectives. Our results challenge the neurobiological relevance of linguistic theories that distinguish instances of composition according to syntactic mode of combination, while abstracting away from the specific semantic contributions of the content words involved.

Identifier
DOI https://doi.org/10.18710/ILRYHB
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/ILRYHB
Provenance
Creator Călinescu, Lia
Publisher DataverseNO
Contributor Călinescu, Lia; NTNU – Norwegian University of Science and Technology
Publication Year 2024
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Călinescu, Lia (NTNU – Norwegian University of Science and Technology)
Representation
Resource Type Dataset
Format text/plain; text/comma-separated-values; application/zip
Size 11276; 502041; 655749; 18474564866
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Humanities; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences