Second Language Users' Restriction of Linguistic Generalization Errors
The Case of EnglishUn- Prefixation Development
Datos Bibliográficos
| ID | 4501684 |
|---|---|
| Autores | Xiaopeng Zhang (0000-0002-5409-6293, North Minzu University, autor de correspondencia) |
| Año | 2017 |
| Volumen | 67 |
| Número | 3 |
| Páginas | 569-598 |
| Fecha de publicación | 2017-09-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Language Learning (JOURNAL) |
| Identificadores de la revista | ISSN: 0023-8333 • E-ISSN: 1467-9922 |
| Editorial | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/lang.12238 |
| OpenAlex | W2608384887 |
| Idioma | EN |
| Citas recibidas | 7 |
| Referencias citadas | 49 |
This study adopted Ambridge's research paradigm to examine the effects of entrenchment, preemption, and verb semantics in second language (L2) acquisition of Englishun- prefixation. Three groups of Chinese learners of English (second- and fourth-year English majors and teachers of English) rated the acceptability of 48un- prefixed verbs and their bare forms. Frequency of bare forms (e.g.,close) was a factor associated with the preference of the fourth-year learners and the teachers to reject ungrammaticalun- verbs (e.g.,unclose). However, competing forms (e.g.,open) did not appear to be linked to participants' judgments of the acceptability of ungrammaticalun- verbs, lending support to the entrenchment rather than the preemption hypothesis. Ratings of the extent to which verbs incorporate the semantics ofun- verbs emerged as significant predictors for the fourth-year learners' and the teachers' judgements of the acceptability of grammaticalun- verbs, supporting the semantic verb class hypothesis.Open PracticesThis article has been awarded an Open Materials badge. All materials are publicly accessible in the IRIS digital repository athttp://www.iris-database.org. Learn more about the Open Practices badges from the Center for Open Science:https://osf.io/tvyxz/wiki
Class (philosophy) · Linguistics · Modal verb · Preference · Semantics (computer science) · Verb · Artificial Intelligence · Computer Science · EFL/ESL Teaching and Learning · Mathematics · Psychology · Reading and Literacy Development · Second Language Acquisition and Learning
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| Obras citantes distintas | 7 |
|---|---|
| Citas por año | 1,17 |
| Intervalo de citas | 2020 - 2026 (7) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 7 |