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Neural correlates reveal sub-lexical orthography and phonology during reading aloud: a review
被引:4
作者:
Timmer, Kalinka
[1
,2
]
Schiller, Niels O.
[2
,3
]
机构:
[1] York Univ, Dept Psychol, N York, ON M3J 1P3, Canada
[2] Leiden Univ, Ctr Linguist, Leiden, Netherlands
[3] Leiden Univ, Leiden Inst Brain & Cognit, Leiden, Netherlands
关键词:
reading aloud;
masked priming paradigm;
grapheme-phoneme conversion;
reading modeling;
ERPs (event-related potentials);
VISUAL WORD RECOGNITION;
TIME-COURSE;
SPEECH PRODUCTION;
LANGUAGE PRODUCTION;
MASKED REPETITION;
FORM;
INTERFERENCE;
ACTIVATION;
TASK;
INFORMATION;
D O I:
10.3389/fpsyg.2014.00884
中图分类号:
B84 [心理学];
学科分类号:
04 ;
0402 ;
摘要:
The sub-lexical conversion of graphemes-to-phonemes (GPC) during reading has been investigated extensively with behavioral measures, as well as event-related potentials (ERPs). Most research utilizes silent reading (e.g., lexical decision task) for which phonological activation is not a necessity. However, recent research employed reading aloud to capture sub-lexical GPC. The masked priming paradigm avoids strategic processing and is therefore well suitable for capturing sub-lexical processing instead of lexical effects. By employing ERPs, the on-line time course of sub-lexical G PC can be observed before the overt response. ERPs have revealed that besides phonological activation, as revealed by behavioral studies, there is also early orthographic activation. This review describes studies in one's native language, in one's second language, and in a cross-language situation. We discuss the implications the ERR results have on different (computational) models. First, the ERR results show that computational models should assume an early locus of the GPC. Second, cross-language studies reveal that the phonological representations from both languages of a bilingual become activated automatically and the phonology belonging to the context is selected rapidly. Therefore, it is important to extend the scope of computational models of reading (aloud) to multiple lexicons.
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