Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/44104
Title: Hierarchical phrase-based grammatical analysis of language samples from Cantonese-speaking children with and without autism
Authors: Leung, MT 
Li, HL
Keywords: Flexibility of syntactic structures
Mean length of utterance in word (MLUw)
Syntactic structures
The number of different syntactic structures
Issue Date: 2015
Publisher: Taylor & Francis
Source: Clinical linguistics and phonetics, 2015, v. 29, no. 8-10, p. 736-747 How to cite?
Journal: Clinical linguistics and phonetics 
Abstract: The present study made a reference to Zhu Dexis phrase-based grammar approach to analyse Cantonese utterances hierarchically into 14 syntactic structures (SS). A total of 68 speech samples from Cantonese-speaking children with and without Autism Spectrum Disorder (ASD) were collected. The mean length of utterance in words (MLUw), the number of syntactic structures (NOSS), the number of different syntactic structures (NODSS) and the flexibility of syntactic structures (FSS) of the samples were calculated. Comparisons among four groups of typically developing (TD) children revealed that all the indexes show developmental changes across age stages. Comparisons between ASD subjects and their age-matched (AM) and MLUw-matched (MM) normal peers were done. MLUw, NOSS and NODSS and FSS could be used to distinguish autistic children from their AM normal peers, but only FSS could be used to distinguish ASD from MM groups qualitatively and quantitatively. The lack of production of SP, V<inf>1</inf>O/SV<inf>2</inf> and Coord<inf>1</inf>Coord<inf>2</inf> with low FSS may be one of the factors that will affect ASD childrens further syntactic development.
URI: http://hdl.handle.net/10397/44104
ISSN: 0269-9206 (print)
1464-5076 (online)
DOI: 10.3109/02699206.2015.1048529
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

47
Last Week
6
Last month
Checked on Nov 13, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.