Spoken word recognition by English-speaking learners of Spanish
ABSTRACT: Spoken word recognition is a hard task. As an aid, native listeners develop segmentation strategies efficiently attuned to phonological properties of their language, like the rhythmic unit (foot, syllable, or mora). If second-language (L2) learners persist in using their own unit, they may...
| Autores: | , , |
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| Tipo de recurso: | capítulo de libro |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universidad Complutense de Madrid (UCM) |
| Repositorio: | Docta Complutense |
| Idioma: | inglés |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/118031 |
| Acceso en línea: | https://hdl.handle.net/20.500.14352/118031 |
| Access Level: | acceso abierto |
| Palabra clave: | 811.134.2'34 811.134.2'243 Spoken word recognition L2 acquisition Rhythmic units Spanish Lengua española Lingüística Enseñanza de la lengua y la literatura 5705.06 Fonología 5705.01 Lingüística Comparada 5701.11 Enseñanza de Lenguas |
| Sumario: | ABSTRACT: Spoken word recognition is a hard task. As an aid, native listeners develop segmentation strategies efficiently attuned to phonological properties of their language, like the rhythmic unit (foot, syllable, or mora). If second-language (L2) learners persist in using their own unit, they may experience longer processing times and even miss word boundaries. Therefore, the question arises as to whether highly proficient L2-speakers can inhibit their segmentation habits. Native Spanish subjects and English-speaking learners of Spanish took a word-spotting test. Participants heard nonsensical words and had to decide whether a real Spanish word or pseudoword was embedded. Some words and pseudowords were stress-initial; others were stress-medial. Different reaction times for both conditions would indicate foot-based segmentation. RTs showed non-significant differences across conditions for either L1 group. English speakers may interpret Spanish unreduced vowels as cues to foot beginning, with their foot-based segmentation having the same effect as syllable-based in this case. |
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