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Direct linkSalem, Alexandra C.; Gale, Robert; Casilio, Marianne; Fleegle, Mikala; Fergadiotis, Gerasimos; Bedrick, Steven – Journal of Speech, Language, and Hearing Research, 2023
Purpose: ParAlg (Paraphasia Algorithms) is a software that automatically categorizes a person with aphasia's naming error (paraphasia) in relation to its intended target on a picture-naming test. These classifications (based on lexicality as well as semantic, phonological, and morphological similarity to the target) are important for…
Descriptors: Semantics, Computer Software, Aphasia, Classification
Download full textCarranza, Mario – Research-publishing.net, 2016
This paper addresses the process of transcribing and annotating spontaneous non-native speech with the aim of compiling a training corpus for the development of Computer Assisted Pronunciation Training (CAPT) applications, enhanced with Automatic Speech Recognition (ASR) technology. To better adapt ASR technology to CAPT tools, the recognition…
Descriptors: Japanese, Second Language Learning, Phonemes, Computational Linguistics
Fleming, Kimberly O.; Hartman, Jayne H. – Florida Educational Research Council Research Bulletin, 1989
A study investigated the appropriate use and interpretation of a phonological test, the Computer Analysis of Phonological Processes (CAPP), with children who are not speakers of Standard English. In the test, three-dimensional objects are used to elicit spontaneously a carefully designed word list including all American English phonemes and 31…
Descriptors: Achievement Gains, Articulation (Speech), Black Dialects, Clinical Diagnosis
