In:
Studies in Second Language Acquisition, Cambridge University Press (CUP), Vol. 41, No. 5 ( 2019-12), p. 911-935
Abstract:
A large dataset of word recognition behavior from nonnative speakers (NNS) of English was collected using an online crowdsourced lexical decision task. Lexical features were used to predict NNS lexical decision latencies and accuracies. Predictors of NNS latencies and accuracy included contextual diversity, age of acquisition, and contextual distinctiveness, while length moderated the impact of contextual diversity and neighborhood size on accuracy. Results have implications for second language word recognition and demonstrate that NNS behavioral data collected through large crowdsourcing projects can afford a rich source for SLA research.
Type of Medium:
Online Resource
ISSN:
0272-2631
,
1470-1545
DOI:
10.1017/S0272263119000019
Language:
English
Publisher:
Cambridge University Press (CUP)
Publication Date:
2019
detail.hit.zdb_id:
435303-1
detail.hit.zdb_id:
2002746-1
SSG:
7,11
SSG:
5,3