80th article "Moving beyond the monosyllable in models of skilled reading: Mega-study of disyllabic nonword reading"

Name : Nurmala Eka Putri
Npm : 16611025


Moving beyond the monosyllable in models of skilled reading:
Mega-study of disyllabic nonword reading
Most English words are polysyllabic, yet research on reading aloud typically focuses on
monosyllables. Forty-one skilled adult readers read aloud 915 disyllabic nonwords that
shared important characteristics with English words. Stress, pronunciation, and naming
latencies were analyzed and compared to data from three computational accounts of disyl￾labic reading, including a rule-based algorithm.
The findings from the pre￾sent study make a critical theoretical contribution to our
understanding of skilled adult reading. Further, this data￾set provides the first normative nonword corpus for British
English and is the largest database of its kind for any lan￾guage, thus being critical for evaluating generalization in
models of reading as they advance into the disyllabic
domain. Finally, our findings have significant applied
implications for the development of evidence-based strate￾gies for literacy education and the clinical diagnosis and
treatment of reading impairments.