Phonotactic Constraints: Implications for Models of Oral Reading in Russian

Autor/inn/en	Ulicheva, Anastasia; Coltheart, Max; Saunders, Steven; Perry, Conrad
Titel	Phonotactic Constraints: Implications for Models of Oral Reading in Russian
Quelle	In: Journal of Experimental Psychology: Learning, Memory, and Cognition, 42 (2016) 4, S.636-656 (21 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0278-7393
DOI	10.1037/xlm0000203
Schlagwörter	Oral Reading; Russian; Pronunciation; Comparative Analysis; Phonology; Phoneme Grapheme Correspondence; Reading Aloud to Others; Word Recognition; Spelling; Adults; Native Speakers; Correlation; Predictor Variables; Multiple Regression Analysis; Experiments; Foreign Countries; Hong Kong + Suchen Sie Ihr Suchwort? Oral work; Reading; Mündliche Übung; Leseprozess; Lesen; Russisch; Aussprache; Fonologie; Worterkennung; Schreibweise; Muttersprachler; Korrelation; Prädiktor; Erprobung; Ausland; Hongkong
Abstract	The present article investigates how phonotactic rules constrain oral reading in the Russian language. The pronunciation of letters in Russian is regular and consistent, but it is subject to substantial phonotactic influence: the position of a phoneme and its phonological context within a word can alter its pronunciation. In Part 1 of the article, we analyze the orthography-to-phonology and phonology-to-phonology (i.e., phonotactic) relationships in Russian monosyllabic words. In Part 2 of the article, we report empirical data from an oral word reading task that show an effect of phonotactic dependencies on skilled reading in Russian: humans are slower when reading words where letter-phoneme correspondences are highly constrained by phonotactic rules compared with those where there are few or no such constraints present. A further question of interest in this article is how computational models of oral reading deal with the phonotactics of the Russian language. To answer this question, in Part 3, we report simulations from the Russian dual-route cascaded model (DRC) and the Russian connectionist dual-process model (CDP++) and assess the performance of the 2 models by testing them against human data. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01