Early speech- and language-impaired children: linguistic, literacy, and social outcomes

2006 ◽  
Vol 48 (06) ◽  
pp. 489 ◽  
Author(s):  
Margaret Glogowska ◽  
Sue Roulstone ◽  
Tim J Peters ◽  
Pam Enderby
2007 ◽  
Vol 48 (6) ◽  
pp. 489-494 ◽  
Author(s):  
Margaret Glogowska ◽  
Sue Roulstone ◽  
Tim J Peters ◽  
Pam Enderby

2017 ◽  
Vol 4 (1) ◽  
pp. 1357912
Author(s):  
Dieter Ullrich ◽  
Katja Ullrich ◽  
Magret Marten ◽  
Bronwyn Frances Ewing

1981 ◽  
Vol 12 (2) ◽  
pp. 100-106
Author(s):  
Kenneth G. Shipley ◽  
Stephen C. McFarlane

Because reading is a language-based skill and many communicatively handicapped youngsters experience difficulties with it, speech-language pathologists have important roles in assisting with reading development for these children. Our knowledge about language and requisite skills for reading may benefit these children in developing reading skills. Speech-language pathologists' roles may be direct or indirect, and may be with preschool or school-aged children. Suggestions are offered for use in speech-language sessions and with teachers or parents.


1987 ◽  
Vol 18 (2) ◽  
pp. 112-130
Author(s):  
Mary Ann Romski ◽  
Sharon Ellis Joyner ◽  
Rose A. Sevcik

Studies of first-word acquisition in typical language-learning children frequently take the form of diary studies. Comparable diary data from language-impaired children with developmental delays, however, are not currently available. This report describes the spontaneous vocalizations of a child with a developmental delay for 14 months, from the time he was age 6:5 to age 7:7. From a corpus of 285 utterances, 47 phonetic forms were identified and categorized. Analysis focused on semantic, communicative, and phonological usage patterns.


2001 ◽  
Vol 10 (2) ◽  
pp. 180-188 ◽  
Author(s):  
Steven H. Long ◽  
Ron W. Channell

Most software for language analysis has relied on an interaction between the metalinguistic skills of a human coder and the calculating ability of the machine to produce reliable results. However, probabilistic parsing algorithms are now capable of highly accurate and completely automatic identification of grammatical word classes. The program Computerized Profiling combines a probabilistic parser with modules customized to produce four clinical grammatical analyses: MLU, LARSP, IPSyn, and DSS. The accuracy of these analyses was assessed on 69 language samples from typically developing, speech-impaired, and language-impaired children, 2 years 6 months to 7 years 10 months. Values obtained with human coding and by the software alone were compared. Results for all four analyses produced automatically were comparable to published data on the manual interrater reliability of these procedures. Clinical decisions based on cutoff scores and productivity data were little affected by the use of automatic rather than human-generated analyses. These findings bode well for future clinical and research use of automatic language analysis software.


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