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Full-Text Articles in Medicine and Health Sciences
Syntactic Complexity In Persons With Multiple Sclerosis, Katherine A. King
Syntactic Complexity In Persons With Multiple Sclerosis, Katherine A. King
Theses and Dissertations
Several studies using standardized tests have provided evidence for the presence of language disorders in persons with Multiple Sclerosis (MS) and have suggested that persons with MS may have language that is less complex. One aspect not thoroughly studied is that of syntactic complexity in naturalistic, conversational settings. The present study collected language samples from 10 adults with MS and 10 age-matched controls and compared scores on five quantitative measures derived from those samples. No significant differences were found between groups on any measure. This finding suggests that in mild cases of MS or during periods of remission, individuals may …
A Comparison Of Seven Automated Measures Of Syntactic Complexity, Laura Elizabeth Wilde
A Comparison Of Seven Automated Measures Of Syntactic Complexity, Laura Elizabeth Wilde
Theses and Dissertations
This study compared seven syntactic measures which can be automatically generated by the Computerized Profiling (CP) software: Mean Length of Utterance in morphemes or words (MLUm or MLUw), Mean Syntactic Length (MSL), the Index of Productive Syntax (IPSyn), the Picture Elicited Scoring Procedure (PESP) for the Language Analysis Remediation and Screening Profile (LARSP), the Syntactic Complexity Score (MSC) scoring of LARSP, and Developmental Sentence Scoring (DSS). Language samples came from 192 children, 106 typically developing children, ages 5;6 to 11;2 and 86 children with language impairment, ages 5;6 to 11;1. Patterns of correlation were consistent for children with or without …
Accuracy Of Automated Analysis Of Language Samples From Persons With Deafness Or Hearing Impairment, Anne M. Hasting
Accuracy Of Automated Analysis Of Language Samples From Persons With Deafness Or Hearing Impairment, Anne M. Hasting
Theses and Dissertations
Developmental Sentence Scoring (DSS) and the Language Assessment, Remediation, and Screening Procedure (LARSP) are among the more common analyses for syntax and morphology, and automated versions of these analyses have been shown to be effective. This study measured the accuracy of automated DSS and LARSP on the written English output of six prelingually deaf young adults, ranging in age from 18 to 32 years. The samples were analyzed using the DSS and LARSP programs on Computerized Profiling; manual analysis was then performed on the samples. Point-by-point accuracy for DSS and for each level of LARSP was reported. Characteristics of the …
Accuracy Of Automated Developmental Sentence Scoring Software, Carrie Ann Judson
Accuracy Of Automated Developmental Sentence Scoring Software, Carrie Ann Judson
Theses and Dissertations
Developmental Sentence Scoring (DSS; Lee 1974) is a well established, structured method for analyzing a child's expressive syntax within the context of a conversational speech sample. Automated DSS programs may increase efficiency of DSS analysis; however the program must be accurate in order to yield valid and reliable results. A recent study by Sagae, Lavie, and MacWhinney (2005) proposed a new method for analyzing the accuracy of automated language analysis programs. This method was used in addition to previously established methods to analyze the accuracy of a new automated DSS program, entitled DSSA (Channell, 2006). Previously collected language samples from …
Automated Grammatical Tagging Of Language Samples From Children With And Without Language Impairment, Deborah Millet
Automated Grammatical Tagging Of Language Samples From Children With And Without Language Impairment, Deborah Millet
Theses and Dissertations
Grammatical classification ("tagging") of words in language samples is a component of syntactic analysis for both clinical and research purposes. Previous studies have shown that probability-based software can be used to tag samples from adults and typically-developing children with high (about 95%) accuracy. The present study found that similar accuracy can be obtained in tagging samples from school-aged children with and without language impairment if the software uses tri-gram rather than bi-gram probabilities and large corpora are used to obtain probability information to train the tagging software.
Scoring Sentences Developmentally: An Analog Of Developmental Sentence Scoring, Amy Seal
Scoring Sentences Developmentally: An Analog Of Developmental Sentence Scoring, Amy Seal
Theses and Dissertations
A variety of tools have been developed to assist in the quantification and analysis of naturalistic language samples. In recent years, computer technology has been employed in language sample analysis. This study compares a new automated index, Scoring Sentences Developmentally (SSD), to two existing measures. Eighty samples from three corpora were manually analyzed using DSS and MLU and the processed by the automated software. Results show all three indices to be highly correlated, with correlations ranging from .62 to .98. The high correlations among scores support further investigation of the psychometric characteristics of the SSD software to determine its clinical …