ERIC Number: EJ1393914
Record Type: Journal
Publication Date: 2023-Sep
Pages: 36
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0364-0213
EISSN: EISSN-1551-6709
Available Date: N/A
An Agent-First Preference in a Patient-First Language during Sentence Comprehension
Sauppe, Sebastian; Naess, Åshild; Roversi, Giovanni; Meyer, Martin; Bornkessel-Schlesewsky, Ina; Bickel, Balthasar
Cognitive Science, v47 n9 e13340 Sep 2023
The language comprehension system preferentially assumes that agents come first during incremental processing. While this might reflect a biologically fixed bias, shared with other domains and other species, the evidence is limited to languages that place agents first, and so the bias could also be learned from usage frequency. Here, we probe the bias with electroencephalography (EEG) in Äiwoo, a language that by default places patients first, but where sentence-initial nouns are still locally ambiguous between patient or agent roles. Comprehenders transiently interpreted nonhuman nouns as patients, eliciting a negativity when disambiguation was toward the less common agent-initial order. By contrast and against frequencies, human nouns were transiently interpreted as agents, eliciting an N400-like negativity when the disambiguation was toward patient-initial order. Consistent with the notion of a fixed property, the agent bias is robust against usage frequency for human referents. However, this bias can be reversed by frequency experience for nonhuman referents.
Descriptors: Language Processing, Diagnostic Tests, Patients, Nouns, Word Frequency, Ambiguity (Semantics), Artificial Intelligence, Brain Hemisphere Functions, Native Language, Malayo Polynesian Languages
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://bibliotheek.ehb.be:2191/en-us
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Data File: URL: https://osf.io/hs96v/
Author Affiliations: N/A