Literature DB >> 27111268

Your Laptop to the Rescue: Using the Child Language Data Exchange System Archive and CLAN Utilities to Improve Child Language Sample Analysis.

Nan Bernstein Ratner1, Brian MacWhinney2.   

Abstract

In this article, we review the advantages of language sample analysis (LSA) and explain how clinicians can make the process of LSA faster, easier, more accurate, and more insightful than LSA done "by hand" by using free, available software programs such as Computerized Language Analysis (CLAN). We demonstrate the utility of CLAN analysis in studying the expressive language of a very large cohort of 24-month-old toddlers tracked in a recent longitudinal study; toddlers in particular are the most likely group to receive LSA by clinicians, but existing reference "norms" for this population are based on fairly small cohorts of children. Finally, we demonstrate how a CLAN utility such as KidEval can now extract potential normative data from the very large number of corpora now available for English and other languages at the Child Language Data Exchange System project site. Most of the LSA measures that we studied appear to show developmental profiles suggesting that they may be of specifically higher value for children at certain ages, because they do not show an even developmental trajectory from 2 to 7 years of age. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

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Year:  2016        PMID: 27111268      PMCID: PMC8856510          DOI: 10.1055/s-0036-1580742

Source DB:  PubMed          Journal:  Semin Speech Lang        ISSN: 0734-0478            Impact factor:   1.761


  14 in total

1.  Differentiating Cantonese-speaking preschool children with and without SLI using MLU and lexical diversity (D).

Authors:  Anita M-Y Wong; Thomas Klee; Stephanie F Stokes; Paul Fletcher; Laurence B Leonard
Journal:  J Speech Lang Hear Res       Date:  2010-06       Impact factor: 2.297

2.  The state of school-based bilingual assessment: actual practice versus recommended guidelines.

Authors:  Lena G Caesar; Paula D Kohler
Journal:  Lang Speech Hear Serv Sch       Date:  2007-07       Impact factor: 2.983

3.  Incorporating computer-aided language sample analysis into clinical practice.

Authors:  Lisa Hammett Price; Sean Hendricks; Colleen Cook
Journal:  Lang Speech Hear Serv Sch       Date:  2009-09-15       Impact factor: 2.983

4.  Clinician survey of language sampling practices in Australia.

Authors:  Marleen F Westerveld; Mary Claessen
Journal:  Int J Speech Lang Pathol       Date:  2014-01-21       Impact factor: 2.484

5.  Lexical diversity in the spontaneous speech of children with specific language impairment: application of D.

Authors:  Amanda J Owen; Laurence B Leonard
Journal:  J Speech Lang Hear Res       Date:  2002-10       Impact factor: 2.297

6.  Language sample analysis in the 21st century.

Authors:  J L Evans; J Miller
Journal:  Semin Speech Lang       Date:  1999       Impact factor: 1.761

7.  The relation between age and mean length of utterance in morphemes.

Authors:  J F Miller; R S Chapman
Journal:  J Speech Hear Res       Date:  1981-06

8.  Input and uptake at 7 months predicts toddler vocabulary: the role of child-directed speech and infant processing skills in language development.

Authors:  Rochelle S Newman; Meredith L Rowe; Nan Bernstein Ratner
Journal:  J Child Lang       Date:  2015-08-24

9.  Automatic generation of the index of productive syntax for child language transcripts.

Authors:  Khairun-nisa Hassanali; Yang Liu; Aquiles Iglesias; Thamar Solorio; Christine Dollaghan
Journal:  Behav Res Methods       Date:  2014-03

10.  Measuring lexical diversity in children who stutter: application of vocd.

Authors:  Stacy Silverman; Nan Bernstein Ratner
Journal:  J Fluency Disord       Date:  2002       Impact factor: 2.538

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  10 in total

1.  Using Computerized Language Analysis to Evaluate Grammatical Skills.

Authors:  Lizbeth H Finestack; Bobbi Rohwer; Lisa Hilliard; Leonard Abbeduto
Journal:  Lang Speech Hear Serv Sch       Date:  2020-04-07       Impact factor: 2.983

2.  Lexical diversity and lexical skills in children who stutter.

Authors:  Courtney Luckman; Stacy A Wagovich; Christine Weber; Barbara Brown; Soo-Eun Chang; Nancy E Hall; Nan Bernstein Ratner
Journal:  J Fluency Disord       Date:  2020-01-22       Impact factor: 2.538

3.  The Index of Productive Syntax: Psychometric Properties and Suggested Modifications.

Authors:  Ji Seung Yang; Brian MacWhinney; Nan Bernstein Ratner
Journal:  Am J Speech Lang Pathol       Date:  2021-11-08       Impact factor: 4.018

4.  Fluency Bank: A new resource for fluency research and practice.

Authors:  Nan Bernstein Ratner; Brian MacWhinney
Journal:  J Fluency Disord       Date:  2018-03-29       Impact factor: 2.538

5.  Use of Computerized Language Analysis to Assess Child Language.

Authors:  Julianne Garbarino; Nan Bernstein Ratner; Brian MacWhinney
Journal:  Lang Speech Hear Serv Sch       Date:  2020-03-18       Impact factor: 2.983

6.  Is Putting SUGAR (Sampling Utterances of Grammatical Analysis Revised) Into Language Sample Analysis a Good Thing? A Response to Pavelko and Owens (2017).

Authors:  Ling-Yu Guo; Sarita Eisenberg; Nan Bernstein Ratner; Brian MacWhinney
Journal:  Lang Speech Hear Serv Sch       Date:  2018-07-05       Impact factor: 2.983

7.  Preliminary Evidence That Growth in Productive Language Differentiates Childhood Stuttering Persistence and Recovery.

Authors:  Kathryn A Leech; Nan Bernstein Ratner; Barbara Brown; Christine M Weber
Journal:  J Speech Lang Hear Res       Date:  2017-11-09       Impact factor: 2.297

8.  Using Free Computer-Assisted Language Sample Analysis to Evaluate and Set Treatment Goals for Children Who Speak African American English.

Authors:  Courtney Overton; Taylor Baron; Barbara Zurer Pearson; Nan Bernstein Ratner
Journal:  Lang Speech Hear Serv Sch       Date:  2021-01-18       Impact factor: 2.983

9.  Dynamic Norming and Open Science.

Authors:  Brian MacWhinney; Nan Bernstein Ratner
Journal:  J Speech Lang Hear Res       Date:  2022-02-22       Impact factor: 2.674

10.  Measurement of Lexical Diversity in Children's Spoken Language: Computational and Conceptual Considerations.

Authors:  Ji Seung Yang; Carly Rosvold; Nan Bernstein Ratner
Journal:  Front Psychol       Date:  2022-06-22
  10 in total

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