Social Class Does Not Predict Reading Success, But Language and Metalinguistic Skills Do

A Fluency Disorders Prevention Program for Preschoolers and Children in the Primary Grades

American Journal of Speech-Language Pathology ◽

10.1044/1058-0360.0101.28 ◽

1991 ◽

Vol 1 (1) ◽

pp. 28-31 ◽

Cited By ~ 11

Author(s):

Eugene B. Cooper ◽

Crystal S. Cooper

Keyword(s):

Motor Skills ◽

Prevention Program ◽

Primary Grades ◽

Primary Grade ◽

Fluency Disorders ◽

Classroom Use ◽

Metalinguistic Skills

A fluency disorders prevention program for classroom use, designed to develop the feeling of fluency control in normally fluent preschool and primary grade children, is described. The program addresses the affective, behavioral, and cognitive aspects of fluency and features activities that not only develop the child’s fluency motor skills but also teach the language of fluency by developing the child’s metalinguistic skills.

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Accuracy of Four Language Analysis Procedures Performed Automatically

American Journal of Speech-Language Pathology ◽

10.1044/1058-0360(2001/017) ◽

2001 ◽

Vol 10 (2) ◽

pp. 180-188 ◽

Cited By ~ 9

Author(s):

Steven H. Long ◽

Ron W. Channell

Keyword(s):

Automatic Identification ◽

Published Data ◽

Typically Developing ◽

Language Impaired ◽

Productivity Data ◽

Language Analysis ◽

Word Classes ◽

Human Coder ◽

Impaired Children ◽

Metalinguistic Skills

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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