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Accuracy of Automated Developmental Sentence Scoring Software

Author : Carrie Ann Judson
Publisher :
Page : 46 pages
File Size : 48,12 MB
Release : 2006
Category : Electronic dissertations
ISBN :

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Previously collected language samples from 118 children between the ages of 3 and 11 years in age were manually and automatedly coded for DSS. The overall accuracy of DSSA was about 86%, while the mean point difference was approximately .7. DSSA generally scored language samples of children achieving lower manual DSS scores or children with language impairment with less accuracy than those of other children. While some precautions may need to be taken, accuracy levels are sufficiently high to allow the fully automated use of DSSA as an alternative to manual DSS scoring.

Scoring Sentences Developmentally

Author : Amy Seal
Publisher :
Page : 43 pages
File Size : 18,13 MB
Release : 2001
Category : Electronic dissertations
ISBN :

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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 validity and reliability. Results of this study suggest that SSD has the potential to compliment other analysis procedures in assessing the language development of young children.

Genre-based Automated Writing Evaluation for L2 Research Writing

Author : E. Cotos
Publisher : Springer
Page : 188 pages
File Size : 24,61 MB
Release : 2014-09-02
Category : Education
ISBN : 1137333375

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Research writing and teaching is a great challenge for novice scholars, especially L2 writers. This book presents a compelling and much-needed automated writing evaluation (AWE) reinforcement to L2 research writing pedagogy.