title: AphasiaBank as BigData.
abstract: 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.
authors.affiliation: Carnegie Mellon University, Pittsburgh, Pennsylvania.
authors.forename: Brian
authors.initials: B
authors.lastname: MacWhinney
authors.affiliation: Carnegie Mellon University, Pittsburgh, Pennsylvania.
authors.forename: Davida
authors.initials: D
authors.lastname: Fromm
mesh_terms: D000328:Adult; D001037:Aphasia / Q000503:physiopathology* / Q000628:therapy; D016208:Databases, Factual; D005260:Female; D005868:Gestures; D006801:Humans; D007802:Language; D008037:Linguistics; D008297:Male; D008875:Middle Aged; D055815:Young Adult