探讨词汇语境对词汇联想反应的影响

IF 1.6 2区 文学 0 LANGUAGE & LINGUISTICS
P. Thwaites
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引用次数: 0

摘要

在单词联想任务中,参与者在看到给定提示时会想到第一个单词。这些反应通常被认为受到许多因素的影响,包括线索语义、形式和文本分布。先前探索第三种影响的研究使用了成对关联测量,如相互信息,来评估文本分布对反应选择的影响程度。在当前的论文中,采用了不同的方法。本文没有考察线索与其观察到的反应之间的共同出现,而是探讨了线索的整体搭配环境塑造其联想轮廓的可能性。回归模型表明,这种文本分布的可预测性是线索反应谱方差的重要预测因子。不过,总的来说,所解释的差异数额很小。随后对分布和关联简档的定性检查表明,对响应生成有几个基于语义的约束。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the impact of lexical context on word association responses
In word association tasks, participants respond with the first word that comes to mind on seeing a given cue. These responses are generally assumed to be influenced by a number of factors, including cue semantics, form, and textual distribution. Previous studies exploring the third of these influences have used pairwise association measures, such as mutual information, to evaluate the extent to which textual distributions influence response selection. In the current paper, a different approach is taken. Rather than examining co-occurrences between a cue and its observed responses, this paper explores the possibility that the cue’s holistic collocational environment shapes its associative profile. Regression modelling demonstrates that the predictability of this textual distribution is a significant predictor of variance in the cue’s response profile. Overall, however, the amount of variance explained is small. A subsequent qualitative examination of distributional and associative profiles suggests several semantically based constraints to response generation.
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来源期刊
CiteScore
3.30
自引率
0.00%
发文量
43
期刊介绍: The International Journal of Corpus Linguistics (IJCL) publishes original research covering methodological, applied and theoretical work in any area of corpus linguistics. Through its focus on empirical language research, IJCL provides a forum for the presentation of new findings and innovative approaches in any area of linguistics (e.g. lexicology, grammar, discourse analysis, stylistics, sociolinguistics, morphology, contrastive linguistics), applied linguistics (e.g. language teaching, forensic linguistics), and translation studies. Based on its interest in corpus methodology, IJCL also invites contributions on the interface between corpus and computational linguistics.
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