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Ran Li; ShiMin Chen; Swathi Kiran – Journal of Speech, Language, and Hearing Research, 2025
Purpose: Following the Rehabilitation Treatment Specification System (RTSS) framework, the current study investigated the active ingredients in the modified semantic feature analysis (mSFA) targeting either noun or verb retrieval in Mandarin-English bilingual adults with aphasia (BWA). Method: Twelve Mandarin-English BWA completed mSFA treatment…
Descriptors: Bilingualism, Aphasia, Mandarin Chinese, English
Alexandra C. Salem; Robert C. Gale; Mikala Fleegle; Gerasimos Fergadiotis; Steven Bedrick – Journal of Speech, Language, and Hearing Research, 2023
Purpose: To date, there are no automated tools for the identification and fine-grained classification of paraphasias within discourse, the production of which is the hallmark characteristic of most people with aphasia (PWA). In this work, we fine-tune a large language model (LLM) to automatically predict paraphasia targets in Cinderella story…
Descriptors: Aphasia, Prediction, Story Telling, Oral Language
Nunn, Kristen; Vallila-Rohter, Sofia; Middleton, Erica L. – Journal of Speech, Language, and Hearing Research, 2023
Purpose: Increasingly, mechanisms of learning are being considered during aphasia rehabilitation. Well-characterized learning mechanisms can inform "how" interventions should be administered to maximize the acquisition and retention of treatment gains. This systematic scoping review mapped hypothesized mechanisms of action (MoAs) and…
Descriptors: Aphasia, Rehabilitation, Naming, Learning Processes
Gary Robinaugh; Maya L. Henry; Robert Cavanaugh; Stephanie M. Grasso – Journal of Speech, Language, and Hearing Research, 2024
Purpose: The purpose of this study was to investigate the effectiveness of a self-administered naming treatment for one individual, B.N., presenting with semantic variant primary progressive aphasia (svPPA) and a history of traumatic brain injury (TBI). Method: Naming treatment included components of Lexical Retrieval Cascade Treatment and was…
Descriptors: Aphasia, Head Injuries, Brain, Naming
Swiderski, Alexander M.; Quique, Yina M.; Dickey, Michael Walsh; Hula, William D. – Journal of Speech, Language, and Hearing Research, 2021
Purpose: This meta-analysis synthesizes published studies using "treatment of underlying forms" (TUF) for sentence-level deficits in people with aphasia (PWA). The study aims were to examine group-level evidence for TUF efficacy, to characterize the effects of treatment-related variables (sentence structural family and complexity;…
Descriptors: Outcomes of Treatment, Aphasia, Sentences, Therapy
Kim, Hana; Schoemann, Alexander M.; Wright, Heather Harris – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Core lexicon measures have received growing attention in research. They are intended to provide clinicians with a clinician-friendly means to quantify word retrieval ability in discourse based on normal expectations of discourse production for specific discourse elicitation tasks. To date, different criteria have been used to develop core…
Descriptors: Discourse Analysis, Language Processing, Measurement, Accuracy
Braun, Emily J.; Kiran, Swathi – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The impact of stimulus-level psycholinguistic variables and personlevel semantic and phonological processing skills on treatment outcomes in individuals with aphasia requires further examination to inform clinical decision making in treatment prescription and stimuli selection. This study investigated the influence of stimulus-level…
Descriptors: Chronic Illness, Aphasia, Psycholinguistics, Language Processing
Carlos Rojas; Bernardo Riffo; Ernesto Guerra – SAGE Open, 2023
Older adults show a progressive cognitive decline, and although language processing appears to resist advancing age, studies in word retrieval report that elders show important difficulties. Previous research reports that such failures increase from age 70 years, which suggests that during the fourth age word retrieval would exhibit even stronger…
Descriptors: Older Adults, Naming, Aphasia, Language Processing
Michèle Masson-Trottier; Karine Marcotte; Elizabeth Rochon; Carol Leonard; Ana Inés Ansaldo – International Journal of Language & Communication Disorders, 2024
Background: Over 50% of individuals with aphasia face ongoing word-finding issues. Studies have found phonologically oriented therapy helpful for English speakers, but this has not yet been studied in French. It is essential to assess the effectiveness of such a therapy in French, considering the distinct linguistic typologies between both…
Descriptors: Aphasia, French, Phonology, Language Processing
Walker, Grant M.; Basilakos, Alexandra; Fridriksson, Julius; Hickok, Gregory – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Meaningful changes in picture naming responses may be obscured when measuring accuracy instead of quality. A statistic that incorporates information about the severity and nature of impairments may be more sensitive to the effects of treatment. Method: We analyzed data from repeated administrations of a naming test to 72 participants with…
Descriptors: Naming, Change, Aphasia, Severity (of Disability)
Xiaobin Wang – ProQuest LLC, 2023
Individuals with aphasia (IWA) often exhibit challenges in single word reading as well as in reading comprehension. Recently, eye-tracking technology has become instrumental in delving deeper into reading behaviors. Specifically, it has illuminated the differences in word reading and comprehension abilities among aphasic English speakers. However,…
Descriptors: Aphasia, Eye Movements, Reading Processes, Reading Comprehension
Salem, 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
Cunningham, Kevin T.; Haley, Katarina L. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: The purpose of this study was to compare the utility of two automated indices of lexical diversity, the Moving-Average Type-Token Ratio (MATTR) and the Word Information Measure (WIM), in predicting aphasia diagnosis and responding to differences in severity and aphasia subtype. Method: Transcripts of a single discourse task were analyzed…
Descriptors: Discourse Analysis, Aphasia, Comparative Analysis, Accuracy
The Subjective Experience of Inner Speech in Aphasia Is a Meaningful Reflection of Lexical Retrieval
Fama, Mackenzie E.; Snider, Sarah F.; Henderson, Mary P.; Hayward, William; Friedman, Rhonda B.; Turkeltaub, Peter E. – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Individuals with aphasia often report that they feel able to say words in their heads, regardless of speech output ability. Here, we examine whether these subjective reports of successful "inner speech" (IS) are meaningful and test the hypothesis that they reflect lexical retrieval. Method: Participants were 53 individuals with…
Descriptors: Aphasia, Inner Speech (Subvocal), Pictorial Stimuli, Psycholinguistics
Evans, William S.; Hula, William D.; Quique, Yina; Starns, Jeffrey J. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Aphasia is a language disorder caused by acquired brain injury, which generally involves difficulty naming objects. Naming ability is assessed by measuring picture naming, and models of naming performance have mostly focused on accuracy and excluded valuable response time (RT) information. Previous approaches have therefore ignored the…
Descriptors: Aphasia, Pictorial Stimuli, Brain, Injuries
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