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Autor/inn/en | Labusch, Melanie; Massol, Stéphanie; Marcet, Ana; Perea, Manuel |
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Titel | Are Goats "Chèvres," "Chévres," "Chevres," and "Chevres"? Unveiling the Orthographic Code of Diacritical Vowels |
Quelle | In: Journal of Experimental Psychology: Learning, Memory, and Cognition, 49 (2023) 2, S.301-319 (19 Seiten)
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Zusatzinformation | ORCID (Perea, Manuel) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0278-7393 |
DOI | 10.1037/xlm0001212 |
Schlagwörter | Vowels; Distinctive Features (Language); French; Pronunciation; Word Recognition; Reading Processes; Alphabets; Suprasegmentals; Phonology; Phonemes; Comparative Analysis; Semantics; Classification; Task Analysis; Contrastive Linguistics; Reaction Time; Accuracy |
Abstract | An often overlooked but fundamental issue for any comprehensive model of visual-word recognition is the representation of diacritical vowels: Do diacritical and nondiacritical vowels share their abstract letter representations? Recent research suggests that the answer is "yes" in languages where diacritics indicate suprasegmental information (e.g., lexical stress, as in cámara ['ka.ma.[voiced alveolar tap or flap]a] camera; Spanish), but "no" in languages where diacritics indicate segmental information such as a different phoneme (e.g., the German vowels ä /[open-mid front unrounded vowel]/ and a /a/). Here we examined this issue in French, a language that contains a complex set of diacritical vowels (e.g., for the letter e: é, è, ê, and ë). In Experiment 1, using a semantic categorization task, we compared the word identification times to intact diacritical words (e.g., chèvre, goat in English) with a condition with omitted diacritics (chevre). Results showed that the two conditions behaved similarly. In Experiments 2-4, we compared the intact diacritical words with a condition containing a mismatching diacritic, either existing in French (e.g., chévre, chevre) or not (the macron sign, as in chevre). We only found a reading cost when replacing the diacritic with an existing one. In Experiments 5-6, we compared the semantic categorization times to intact nondiacritical words (e.g., cheval, horse in English) versus a condition with an added diacritic, either existing (chèval) or not (cheval). We found a reading cost for the words with the added diacritical mark in both cases. We discuss how models of visual-word recognition can be modified to represent diacritical vowels. (As Provided). |
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Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |