Dual drivers of bilingual semantic accent
Semantic relations and input limitations
Bibliographic Data
| ID | 15087489 |
|---|---|
| Authors | Barbara C Malt (0000-0002-0631-5375, Lehigh University, corresponding author), Xingjian Yang (0000-0001-8138-6635, Lehigh University) |
| Year | 2025 |
| Volume | 29 |
| Issue | 5 |
| Pages | 1257-1273 |
| Publication date | 2025-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Bilingualism (JOURNAL) |
| Journal identifiers | ISSN: 1367-0069 • E-ISSN: 1756-6878 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/13670069241270807 |
| OpenAlex | W4401965520 |
| Language | EN |
| References cited | 24 |
Research question: Second language (L2) learners may have a “semantic accent,” using L2 words differently from a native speaker. The current studies investigate how learning conditions and the need to use different semantic dimensions may constrain the acquisition of L2 meanings. Approach: In Experiment 1, we asked whether first language (L1) Mandarin speakers would successfully learn English carry and hold with intensive input in a laboratory training procedure. In Experiment 2, we asked whether the difficulties observed were due to differing semantic dimensions per se or to the need to move from a larger number of fine-grained native distinctions to a smaller number of broader English meanings. Data and analysis: Word definitions and label choice after training were scored for consistency with native performance. Conclusions: Experiment 1 supported the idea that intensive input helps, but Experiment 2 suggested that any kind of semantic difference from L1 is challenging even with intensive input. Originality: The current study clarifies the contributions of learning conditions and L1-L2 semantic differences in semantic accent. Implications: Reducing semantic accent may require instruction in specific L1-L2 differences and cultivation of metacognitive sensitivity to the potential for differences
Cognitive psychology · Linguistics · Natural language processing · Computer Science · Neurobiology of Language and Bilingualism · Philosophy · Phonetics and Phonology Research · Psychology · Syntax, Semantics, Linguistic Variation · Artificial Intelligence
Statistical power analyses using G*Power 3.1
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| Highly cited | No |
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