Non-native Readers Are More Sensitive to Changes in Surface Linguistic Information than Native Readers
Bibliographic Data
| ID | 21697409 |
|---|---|
| Authors | Denisa Bordag (University of Haifa, corresponding author), Andreas Opitz (0000-0002-1494-7591, Leipzig University), Max Polter (Leipzig University), Michael Meng (0000-0002-4049-7846, Merseburg University of Applied Sciences) |
| Year | 2021 |
| Volume | 24 |
| Issue | 4 |
| Pages | 599-611 |
| Publication date | 2021-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Bilingualism Language and Cognition (JOURNAL) |
| Journal identifiers | ISSN: 1366-7289 • E-ISSN: 1469-1841 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s1366728920000772 |
| OpenAlex | W3129757857 |
| Language | EN |
| Citations received | 5 |
| References cited | 63 |
In the present study we challenge the generally accepted view based primarily on L1 data that surface linguistic information decays rapidly during reading and that only propositional information is retained in memory. In two eye-tracking experiments, we show that both L1 and L2 adult readers retain verbatim information of a text. In particular, the reading behaviour of L2 German learners revealed that they were sensitive to both lexical (synonyms) and syntactic (active/passive alternation) substitutions during a second reading of the texts, while L1 exhibited only reduced sensitivity to the lexical substitutions. The results deliver an important piece of evidence that complies with several current processing (e.g., Shallow Structure Hypothesis), acquisition (Declarative/Procedural Model) and cognitive (e.g., Fuzzy Trace Theory) approaches and adds a new dimension to their empirical and theoretical basis
German · Linguistics · Natural language processing · Computer Science · Neurobiology of Language and Bilingualism · Psychology · Reading and Literacy Development · Second Language Acquisition and Learning · Artificial Intelligence
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| Unique citing works | 5 |
|---|---|
| Citations per year | 1,25 |
| Citation span | 2022 - 2025 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |