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Article
Paralg: A Paraphasia Algorithm for Multinomial Classification of Picture Naming Errors
Journal of Speech, Language, and Hearing Research : JSLHR
  • Marianne Casilio, Vanderbilt University
  • Gerasimos Fergadiotis, Portland State University
  • Alexandra C Salem, OHSU-PSU School of Public Health
  • Robert C Gale, OHSU-PSU School of Public Health
  • Katy McKinney-Bock, OHSU-PSU School of Public Health
  • Steven Bedrick, OHSU-PSU School of Public Health
Document Type
Citation
Publication Date
2-15-2023
Abstract

A preliminary version of a paraphasia classification algorithm (henceforth called ParAlg) has previously been shown to be a viable method for coding picture naming errors. The purpose of this study is to present an updated version of ParAlg, which uses multinomial classification, and comprehensively evaluate its performance when using two different forms of transcribed input.

Rights

Copyright © 2023 American Speech-Language-Hearing Association

DOI
10.1044/2022_JSLHR-22-00255
Persistent Identifier
https://archives.pdx.edu/ds/psu/39645
Citation Information
Casilio, M., Fergadiotis, G., Salem, A. C., Gale, R. C., McKinney-Bock, K., & Bedrick, S. (2023). ParAlg: A paraphasia algorithm for multinomial classification of picture naming errors. Journal of Speech, Language, and Hearing Research, 1-21. https://doi.org/10.1044/2022_JSLHR-22-00255