Carnegie Mellon University
Browse
MacW_Fromm_SSL_2016.docx (534.09 kB)

AphasiaBank as BigData

Download (534.09 kB)
journal contribution
posted on 2016-02-16, 00:00 authored by Brian MacwhinneyBrian Macwhinney, Davida FrommDavida Fromm
AphasiaBank has used a standardized protocol to collect narrative, procedural, personal, and descriptive discourse from 290 persons with aphasia, as well as 190 control participants. These data have been transcribed in the Codes for the Human Analysis of Transcripts (CHAT) format for analysis by the Computerized Language Analysis (CLAN) programs. Here, we review results from 45 studies based on these data that investigate aphasic productions in terms of these eight areas: discourse, grammar, lexicon, gesture, fluency, syndrome classification, social factors, and treatment effects. For each area, we also indicate how use of the CLAN programs has facilitated the analysis. We conclude with an examination of ways in which the size of the database could be increased through on-site recordings and data from teletherapy.

History

Publisher Statement

Copyright ©2016 by Thieme Medical Publishers, Inc. Fromm, D., & Macwhinney, B. (2016). AphasiaBank as BigData. Seminars in Speech and Language, 37(01), 010-022.

Date

2016-02-16

Usage metrics

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC