Discourse‐level adaptation in pronoun comprehension
Bibliographic Data
| ID | 16843238 |
|---|---|
| Authors | Yining Ye (0000-0001-8937-6917, University of North Carolina at Chapel Hill), J E Arnold (0000-0001-7519-1305, University of North Carolina at Chapel Hill, corresponding author) |
| Year | 2023 |
| Volume | 17 |
| Issue | 2 |
| Publication date | 2023-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Language and Linguistics Compass (JOURNAL) |
| Journal identifiers | ISSN: 1749-818X • E-ISSN: 1749-818X |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/lnc3.12481 |
| OpenAlex | W4319842738 |
| Language | EN |
| References cited | 59 |
It is well established that people adapt to statistical regularities at phonological, lexical, and syntactic levels. Much less is known about adaptation to discourse‐level structures, such as adaptation to structures defined as the relationship between a pronoun and its antecedent. To fill this gap, this paper reviews studies on the learning of referential patterns by asking (1) do people represent referential structures, (2) how long do discourse‐level representations last, (3) how specific are representations that are used for referential adaptation, (4) what mechanisms underlie this adaptation, and (5) what the current methods are used to test referential adaptation. This paper also briefly summarises the work on adaptation at other linguistic levels. This line of work extends adaptation to higher‐level structures and demonstrates how people learn language patterns that drive successful communication and reading skills
Cognitive psychology · Comprehension · Linguistics · Pronoun · Computer Science · Language Development and Disorders · Natural Language Processing Techniques · Neurobiology of Language and Bilingualism · Psychology · Social Psychology
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| Citation velocity | historical |
|---|---|
| Highly cited | No |