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The role of syllables in intermediate-depth stress-timed languages: masked priming evidence in European Portuguese
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The role of syllables in intermediate-depth stress-timed languages: masked priming evidence in European Portuguese
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The role of syllables in intermediate-depth stress-timed languages: masked priming evidence in European Portuguese
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Journal Article
The role of syllables in intermediate-depth stress-timed languages: masked priming evidence in European Portuguese
2018
Overview
The role of syllables as a sublexical unit in visual word recognition and reading is well established in deep and shallow syllable-timed languages such as French and Spanish, respectively. However, its role in intermediate stress-timed languages remains unclear. This paper aims to overcome this gap by studying for the first time the role of syllables at early stages of visual word recognition in Portuguese (European), a language where the spelling-sound correspondences are less transparent than Spanish but less opaque than French, and also with fuzzier syllabic boundaries than both languages. To that purpose, 36 native speakers of Portuguese performed a lexical decision task combined with a masked priming paradigm. Ninety-six dissyllabic Portuguese target words, and 96 nonwords, half of which with a CV (ru.mor [rumor]) and the other half with a CVC first-syllable structure (forno [oven]), were preceded by a briefly presented nonword prime (50 ms) that could be syllable congruent (e.g., ru.mis-RU.MOR, for.pa-FOR.NO), syllable incongruent (e.g., rum.pa-RU.MOR, fo.rou-FOR.NO), or unrelated (e.g., ca.fas-RU.MOR, pou.me-FOR.NO) with the targets. Results were clear-cut and showed a facilitative syllabic priming effect in Portuguese, as target words preceded by syllable congruent primes were recognized faster and more accurately than when preceded either by incongruent or unrelated primes, although the effect was restricted to CV words. For nonwords there were no signs of syllabic effects. The findings are discussed attending to the characteristics of the Portuguese language and to current models of visual word recognition.
