ParAlg: A Paraphasia Algorithm for Multinomial Classification of Picture Naming Errors.

ABSTRACT:

Purpose

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.

Method

A subset of 11,999 archival responses produced on the Philadelphia Naming Test were classified into six cardinal paraphasia types using ParAlg under two transcription configurations: (a) using phonemic transcriptions for responses exclusively (phonemic-only) and (b) using phonemic transcriptions for nonlexical responses and orthographic transcriptions for lexical responses (orth

SUBMITTER: Casilio M 

PROVIDER: S-EPMC10461785 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature