Assessing Measures of Second Language Automatization in Sentence Processing
This study tested the effectiveness of processing speed and processing stability in measuring automatization in L2 sentence processing by comparing the predictability of processing speed(reaction time,RT)and processing stability(coefficient of variation,CV)over the use of automated L2 knowledge.Chinese English learners of intermediate-low and intermediate-high proficiency levels completed tasks involving sentence maze,timed grammaticality judgment,and elicited imitation.Results revealed that:(1)the L2 sentence processing skills of participants at both proficiency levels were categorized into two states:non-automated and automated;(2)CV rather than RT of the intermediate-high proficiency participants,could significantly predict the use of automated knowledge measured by the timed grammaticality judgment task;(3)RT and CV of both groups could not significantly predict the use of automated knowledge measured by the elicited imitation task.Results suggest that CV is more effective than RT in measuring L2 syntactic automatization.
L2 syntactic automatizationautomated L2 knowledgecoefficient of variationreaction time
NETL
NSTL
万方数据
