Work

Using Lexical Features to Investigate Second Language Lexical Decision Performance

Year: 2019

Type: article

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.

Source: Studies in Second Language Acquisition

DOI: 10.1017/s0272263119000019

Authors: Cynthia Berger, Scott Crossley, Stephen Skalicky

Institution: Georgia State University

Language: English

Topic: Second Language Acquisition and Learning

Subfield: Developmental and Educational Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W2943713722

FWCI: 2.272

Cites: 103

Cited by: 33

Related to: 10