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介绍WCM-SE:一种基于语音合理性并适用于瑞典语的单词复杂度度量方法。

Introducing WCM-SE: The word complexity measure phonetically justified and adapted to Swedish.

作者信息

Marklund Ulrika, Marklund Ellen, Schwarz Iris-Corinna, Lacerda Francisco

机构信息

a Department of Linguistics , Stockholm University, Phonetics Laboratory, Stockholm Babylab , Stockholm , Sweden.

b Speech Clinic, Danderyds Hospital , Stockholm , Sweden.

出版信息

Clin Linguist Phon. 2018;32(11):1042-1053. doi: 10.1080/02699206.2018.1493620. Epub 2018 Jul 9.

Abstract

This paper presents the Word Complexity Measure for Swedish (WCM-SE), an adaptation of the original WCM developed for English by Stoel-Gammon. These measures are used to calculate the phonological complexity of words or vocalizations, based on a number of phonological complexity parameters. Each production receives a complexity score based on how many of the parameters are present in the production. Using phonological complexity scores to measure expressive phonology is suitable for assessing very young children, children with early phonology and children with phonological deficits. It is useful for both relational and independent analyses and enables comparisons between children and across development. The original WCM uses eight phonological complexity parameters in three domains: word patterns, syllable structures and sound classes. The parameters selected are phonological characteristics that are acquired late in development among English-speaking children. In the WCM-SE, complexity parameters in the domain sound classes were modified or added according to Swedish or universal patterns of phonology development. The parameters' complexity is accounted for in terms of language-general phonetic characteristics.

摘要

本文介绍了瑞典语单词复杂性度量(WCM-SE),它是由斯托尔-甘蒙为英语开发的原始WCM的改编版本。这些度量用于根据一些语音复杂性参数计算单词或发声的语音复杂性。每个发音都会根据发音中出现的参数数量获得一个复杂性分数。使用语音复杂性分数来衡量表达性语音学适用于评估非常年幼的儿童、早期语音学儿童和有语音缺陷的儿童。它对于关系分析和独立分析都很有用,并且能够在儿童之间以及不同发育阶段进行比较。原始的WCM在三个领域使用八个语音复杂性参数:单词模式、音节结构和音类。所选参数是说英语儿童在发育后期获得的语音特征。在WCM-SE中,根据瑞典语或普遍的语音发展模式对音类领域的复杂性参数进行了修改或添加。参数的复杂性是根据通用语言语音特征来考虑的。

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