Babatsouli Elena
Department of Communicative Disorders, University of Louisiana at Lafayette , Lafayette, Louisiana, USA.
Clin Linguist Phon. 2021 Jan 2;35(1):65-83. doi: 10.1080/02699206.2020.1744189. Epub 2020 Mar 30.
A measure was recently proposed for the quantitative evaluation of consonant clusters in child developmental speech, the measure for cluster proximity (MCP). Its advantage over the widely used measure of the percentage of consonants correct (PCC) is that it differentiates the three main stages of cluster production: reduction, vowel epenthesis, and two-members, correct or not. The purpose of the present article is two-fold: a) to contrast MCP and PCC in two-member word-initial clusters produced within children with speech sound disorders (SSDs), tested before and after therapy, as well as in running speech within typically developing children, and b) to examine the correlation between the two measures across children in typical or atypical speech development. Data used are comprised of 34 sets with 18 word-initial cluster types, taken from the speech samples of 18 children. It is found that while there are generally large deviations between the two measures in individual clusters within and between children, the measures have a strong and statistically significant correlation when averaged over all clusters per child, or over all children per cluster class based on the manner of articulation. For the data at hand, a linear equation is obtained yielding MCP values from PCC values with a high coefficient of determination. The results suggest that PCC norms that are used to assess consonants can be used to predict MCP norms in order to assess consonant clusters in child developmental speech.
最近有人提出了一种用于定量评估儿童发育性语音中辅音连缀的方法，即辅音连缀接近度测量法（MCP）。它相对于广泛使用的辅音正确率（PCC）测量法的优势在于，它区分了辅音连缀产生的三个主要阶段：简化、元音插入以及双音素阶段（无论是否正确）。本文的目的有两个：a）对比语音障碍（SSD）儿童在治疗前后产生的双音素词首辅音连缀中的MCP和PCC，以及典型发育儿童的连续语音中的MCP和PCC；b）研究在典型或非典型语音发展的儿童中这两种测量方法之间的相关性。所使用的数据包括来自18名儿童语音样本的34组、共18种词首辅音连缀类型。研究发现，虽然在儿童内部和儿童之间的各个辅音连缀中，这两种测量方法通常存在较大偏差，但当对每个儿童的所有辅音连缀进行平均，或者基于发音方式对每个辅音连缀类别中的所有儿童进行平均时，这两种测量方法具有很强的统计学显著相关性。对于手头的数据，得到了一个线性方程，该方程能够根据PCC值得出具有高决定系数的MCP值。结果表明，用于评估辅音的PCC标准可用于预测MCP标准，以便评估儿童发育性语音中的辅音连缀。
