Sun Kun, Lu Xiaofei
Department of Linguistics, University of Tübingen, Tübingen, Germany.
Department of Applied Linguistics, The Pennsylvania State University (PSU), University Park, PA, United States.
Front Psychol. 2021 Sep 23;12:672243. doi: 10.3389/fpsyg.2021.672243. eCollection 2021.
Previous studies of the lexical psycholinguistic properties (LPPs) in second language (L2) production have assessed the degree of an LPP dimension of an L2 corpus by computing the mean ratings of unique content words in the corpus for that dimension, without considering the possibility that learners at different proficiency levels may perceive the degree of that dimension of the same words differently. This study extended a dynamic semantic similarity algorithm to estimate the degree of five different LPP dimensions of several sub-corpora of the Education First-Cambridge Open Language Database representing L2 English learners at different proficiency levels. Our findings provide initial evidence for the validity of the algorithm for assessing the LPPs in L2 production and contribute useful insights into between-proficiency relationships and cross-proficiency differences in the LPPs in L2 production as well as the relationships among different LPP dimensions.
以往关于第二语言(L2)产出中词汇心理语言学特性(LPPs)的研究,通过计算语料库中独特实词在该维度上的平均评分,来评估L2语料库在LPP维度上的程度,而没有考虑到不同熟练程度的学习者可能对相同词汇在该维度上的程度有不同认知。本研究扩展了一种动态语义相似性算法,以估计代表不同熟练程度的L2英语学习者的英孚 - 剑桥开放语言数据库几个子语料库在五个不同LPP维度上的程度。我们的研究结果为该算法在评估L2产出中LPPs的有效性提供了初步证据,并为L2产出中LPPs的熟练程度之间的关系、跨熟练程度差异以及不同LPP维度之间的关系提供了有用的见解。