Survey on Emerging Research on the Use of Natural Language Processing in Clinical Language Assessment of Children.
In the last decade, we have seen emerging research exploring the use of natural language processing (NLP) techniques for assisting in the identification of clinical conditions that affect language. One of these clinical conditions is language impairment, a disorder identified by delayed or disordere...
| Publicado en: | Language & Linguistics Compass Vol. 7; no. 12; pp. 633 - 647 |
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| Formato: | Artículo |
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Wiley-Blackwell
Dec2013
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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=hlh&AN=93000013&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 93000013 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1749818X BDC7 jtl: Language & Linguistics Compass issn: 1749818X maglogo: Y pubinfo: dt: Dec2013 vid: 7 iid: 12 pid: 480 pub: Wiley-Blackwell artinfo: ui: 93000013 10.1111/lnc3.12054 ppf: 633 ppct: 14 formats: tig: atl: Survey on Emerging Research on the Use of Natural Language Processing in Clinical Language Assessment of Children. aug: au: Solorio, Thamar affil: Department of Computer and Information Sciences, The University of Alabama at Birmingham su: Computational linguistics Language ability testing Language disorders Communicative disorders Intellect Medical research sug: subj: Computational linguistics Language ability testing Language disorders Communicative disorders Intellect Medical research ab: In the last decade, we have seen emerging research exploring the use of natural language processing (NLP) techniques for assisting in the identification of clinical conditions that affect language. One of these clinical conditions is language impairment, a disorder identified by delayed or disordered language patterns in an individual with normal intelligence with no neurological or other physiological conditions. In this article, we present a survey of this emerging line of research, which for the most part has focused on the task of discriminating the clinical from the non-clinical group by posing the task as an automated classification problem. The focus of this survey is on the types of features recent research has explored. We also discuss the many interesting open questions that this research has yet to explore. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2013 holdings: @attributes: islocal: N |
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