The word complexity measure (WCM) in early phonological development: A longitudinal study from birth to three years old

Li Mei Chen, Yi Hsiang Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Word Complexity Measure (WCM, Stoel-Gammon, 2010) is a system of phonological assessment for children's speech productions, a method that focuses on the complexity rather than accuracy. With its flexible parameter program, the assessment can be adjusted to the phonological properties of different languages. In the current study, the WCM was used to assess speech production of three Mandarin-learning children from birth to three years old. In addition to the original parameters in Stoel-Gammon (2010), the Chinese version of WCM made some adjustments, including incorporating productions of fricatives, affricates, /z/, /y/, and the late acquired vowels and consonants, to examine the complexity of speech productions. Major findings in the developmental changes of the first 3 years are: 1) the complexity of the intelligible words increased, with individual differences in the stability of changes; 2) the complexity of the unintelligible syllables also elaborated; 3) the percentage of simple words/syllables decreased in both intelligible and unintelligible productions.

Original languageEnglish
Title of host publicationProceedings of the 27th Conference on Computational Linguistics and Speech Processing, ROCLING 2015
EditorsSin-Horng Chen, Hsin-Min Wang, Jen-Tzung Chien, Hung-Yu Kao, Wen-Whei Chang, Yih-Ru Wang, Shih-Hung Wu
PublisherThe Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Pages233-247
Number of pages15
ISBN (Electronic)9789573079286
Publication statusPublished - 2015 Oct 1
Event27th Conference on Computational Linguistics and Speech Processing, ROCLING 2015 - Hsinchu, Taiwan
Duration: 2015 Oct 12015 Oct 2

Publication series

NameProceedings of the 27th Conference on Computational Linguistics and Speech Processing, ROCLING 2015

Conference

Conference27th Conference on Computational Linguistics and Speech Processing, ROCLING 2015
CountryTaiwan
CityHsinchu
Period15-10-0115-10-02

All Science Journal Classification (ASJC) codes

  • Speech and Hearing
  • Language and Linguistics

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