Automation of the Northwestern Narrative Language Analysis System.
Purpose: Analysis of spontaneous speech samples is important for determining patterns of language production in people with aphasia. To accomplish this, researchers and clinicians can use either hand coding or computer-automated methods. In a comparison of the two methods using the handcoding NNLA (...
| Published in: | Journal of Speech, Language & Hearing Research Vol. 63; no. 6; pp. 1835 - 1845 |
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| Main Authors: | , , |
| Format: | Article |
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American Speech-Language-Hearing Association
Jun2020
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=143883698&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 143883698 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Jun2020 vid: 63 iid: 6 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 143883698 10.1044/2020_JSLHR-19-00267 ppf: 1835 ppct: 10 formats: fmt: @attributes: type: P size: 553KB tig: atl: Automation of the Northwestern Narrative Language Analysis System. aug: au: Fromm, Davida MacWhinney, Brian Thompson, Cynthia K. affil: Department of Psychology, Carnegie Mellon University, Pittsburgh, PA. Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL. su: Reliability (Personality trait) Storytelling Narration Linguistic analysis Speech processing systems Aphasia Automation Programming languages Speech evaluation Medical coding software Mann Whitney U Test sug: subj: Reliability (Personality trait) Storytelling Software publishers (except video game publishers) Software Publishers Narration Linguistic analysis Speech processing systems Aphasia Automation Programming languages Speech evaluation Medical coding software Mann Whitney U Test ab: Purpose: Analysis of spontaneous speech samples is important for determining patterns of language production in people with aphasia. To accomplish this, researchers and clinicians can use either hand coding or computer-automated methods. In a comparison of the two methods using the handcoding NNLA (Northwestern Narrative Language Analysis) and automatic transcript analysis by CLAN (Computerized Language Analysis), Hsu and Thompson (2018) found good agreement for 32 of 51 linguistic variables. The comparison showed little difference between the two methods for coding most general (i.e., utterance length, rate of speech production), lexical, and morphological measures. However, the NNLA system coded grammatical measures (i.e., sentence and verb argument structure) that CLAN did not. Because of the importance of quantifying these aspects of language, the current study sought to implement a new, single, composite CLAN command for the full set of 51 NNLA codes and to evaluate its reliability for coding aphasic language samples. Method: Eighteen manually coded NNLA transcripts from eight people with aphasia and 10 controls were converted into CHAT (Codes for the Human Analysis of Talk) files for compatibility with CLAN commands. Rules from the NNLA manual were translated into programmed rules for CLAN computation of lexical, morphological, utterancelevel, sentence-level, and verb argument structure measures. Results: The new C-NNLA (CLAN command to compute the full set of NNLA measures) program automatically computes 50 of the 51 NNLA measures and generates the results in a summary spreadsheet. The only measure it does not compute is the number of verb particles. Statistical tests revealed no significant difference between C-NNLA results and those generated by manual coding for 44 of the 50 measures. C-NNLA results were not comparable to manual coding for the six verb argument measures. Conclusion: Clinicians and researchers can use the automatic C-NNLA to analyze important variables required for quantification of grammatical deficits in aphasia in a way that is fast, replicable, and accessible without extensive linguistic knowledge and training. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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