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Articulation errors will seriously reduce speech intelligibility and the ease of spoken communication. Typically, a language therapist uses his or her clinical experience to identify articulation error patterns, a time-consuming and expensive process. This paper presents a novel automatic approach to identifying articulation error patterns and providing pronunciation error information to assist the linguistic therapist. A photo naming task is used to capture examples of an individual'sdoi:10.1109/ijcnn.2008.4634374 dblp:conf/ijcnn/ChenWY08 fatcat:d5nssr3wffbk3ehf2whdygm7bu