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...
| Publicado en: | American Journal of Speech-Language Pathology Vol. 10; no. 2; pp. 180 - 189 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
American Speech-Language-Hearing Association
May2001
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=107058850&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 107058850 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10580360 5E7 jtl: American Journal of Speech-Language Pathology issn: 10580360 maglogo: N pubinfo: dt: May2001 vid: 10 iid: 2 pid: 42 pub: American Speech-Language-Hearing Association place: Rockville, Maryland artinfo: ui: 107058850 107058850 2001093750 10.1044/1058-0360(2001/017) 107058850 ppf: 180 ppct: 9 formats: fmt: @attributes: type: T tig: 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 refInfo: holdings: @attributes: islocal: N |
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