Accuracy of four language analysis procedures performed automatically.

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 identifica...

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Publicado en:American Journal of Speech-Language Pathology Vol. 10; no. 2; pp. 180 - 189
Autores principales: Long, Steven H., Channell, Ron W.
Formato: research tables/charts Journal Article
Publicado: American Speech-Language-Hearing Association May2001
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2001
      vid: 10
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      pub: American Speech-Language-Hearing Association
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        10.1044/1058-0360(2001/017)
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        atl: Accuracy of four language analysis procedures performed automatically.
      aug:
        au:
          Long, Steven H.
          Channell, Ron W.
        affil: Department of Communication Sciences, Case Western Reserve University, 11206 Euclid Ave, Cleveland, OH 44106; sx112@po.cwru.edu
      sug:
        subj:
          Speech and Language Assessment Evaluation
          Diagnosis, Computer Assisted Evaluation
          Grammar Evaluation
          Validation Studies
          Speech Sample
          Child, Preschool
          Child
          Mean Length of Utterance
          Language Tests
          Language Disorders
          Fluency Disorders
          Correlation Coefficient
          Descriptive Statistics
          Reliability
          Human
          Child, Preschool: 2-5 years
          Child: 6-12 years
      ab: 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, speechimpaired, 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.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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