Castro Nichol, Pelczarski Kristin M, Vitevitch Michael S
University of Kansas, Lawrence.
Kansas State University, Manhattan.
J Speech Lang Hear Res. 2017 Jul 12;60(7):1911-1918. doi: 10.1044/2017_JSLHR-S-16-0298.
Methods from network science have examined various aspects of language processing. Clinical populations may also benefit from these novel analyses. Phonological and lexical factors have been examined in adults who stutter (AWS) as potential contributing factors to stuttering, although differences reported are often subtle. We reexamined the performance of AWS and adults who do not stutter (AWNS) from a previously conducted lexical decision task in an attempt to determine if network science measures would provide additional insight into the phonological network of AWS beyond traditional psycholinguistic measures.
Multiple regression was used to examine the influence of several traditional psycholinguistic measures as well as several new measures from network science on response times.
AWS responded to low-frequency words more slowly than AWNS; responses for both groups were equivalent for high-frequency words. AWS responded to shorter words more slowly than AWNS, producing a reverse word-length effect. For the network measures, degree/neighborhood density and closeness centrality, but not whether a word was inside or outside the giant component, influenced response times similarly between groups.
Network analyses suggest that multiple levels of the phonological network might influence phonological processing, not just the micro-level traditionally considered by mainstream psycholinguistics.
网络科学方法已对语言处理的各个方面进行了研究。临床人群或许也能从这些新颖的分析中受益。尽管所报告的差异往往很细微，但语音和词汇因素已在口吃成年人（AWS）中作为口吃的潜在促成因素进行了研究。我们重新审视了AWS和非口吃成年人（AWNS）在之前进行的词汇判定任务中的表现，试图确定网络科学测量方法是否能在传统心理语言学测量方法之外，为AWS的语音网络提供更多见解。
使用多元回归来检验几种传统心理语言学测量方法以及网络科学的几种新测量方法对反应时间的影响。
AWS对低频词的反应比AWNS更慢；两组对高频词的反应相当。AWS对较短单词的反应比AWNS更慢，产生了相反的词长效应。对于网络测量，度/邻域密度和接近中心性，而非一个单词是否在巨分量内部或外部，在两组之间对反应时间的影响类似。
网络分析表明，语音网络的多个层面可能会影响语音处理，而不仅仅是主流心理语言学传统上所考虑的微观层面。
