Scalable Programming for the Analysis of Aphasia Transcripts
Paula Garcia, Vicki L. Hanson · RIT Scholar Works (Rochester Institute of Technology) · 2016
Access technologies designed for individuals with non-fluent aphasia focus on digitizing speech therapy methods and generating speech.To improve these technologies, the language characteristics of individuals with nonfluent aphasia must be further understood.Language corpuses, such as the AphasiaBank, provide a promising solution for informing technology usability in terms of navigation, interface, and content decisions.As a tool for informing such work, this research investigates the viability of a flexible and scalable multi-threaded software program for the analysis of AphasiaBank transcripts.Results show that the program allows rapid analysis of all transcriptions by optimizing core functionality and minimizing the number of areas for synchronization.This research aims to improve the access to information, products, and services in technology for individuals with non-fluent aphasia.