ArticleJournal of speech, language, and hearing research : JSLHR2022
Validation of an Automated Procedure for Calculating Core Lexicon From Transcripts.
Article in Journal of speech, language, and hearing research : JSLHR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 25 citations in OpenAlex.
- The Benefits of Conversation Group Treatment for Individuals With Chronic Aphasia: Updated Evidence From a Multisite Randomized Controlled Trial on Measures of Language and Communication.American journal of speech-language pathology · 2025Trial
- The curious case of the Cat Rescue: can picture narrative description inform visuospatial processing in aphasia?Frontiers in human neuroscience · 2025Article
- Neural tracking of natural speech: an effective marker for post-stroke aphasia.Brain communications · 2025Article
- Clinical efficacy of pre-trained large language models through the lens of aphasia.Scientific reports · 2024Article
- The Case of the Cookie Jar: Differences in Typical Language Use in Dementia.Journal of Alzheimer's disease : JAD · 2024Article
- Access to context-specific lexical-semantic information during discourse tasks differentiates speakers with latent aphasia, mild cognitive impairment, and cognitively healthy adults.Frontiers in human neuroscience · 2024Article
- Automation of Language Sample Analysis.Journal of speech, language, and hearing research : JSLHR · 2023Article
- DementiaBank: Theoretical Rationale, Protocol, and Illustrative Analyses.American journal of speech-language pathology · 2023Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
purposeThe aim of this study was to advance the use of structured, monologic discourse analysis by validating an automated scoring procedure for core lexicon (CoreLex) using transcripts.
methodForty-nine transcripts from persons with aphasia and 48 transcripts from persons with no brain injury were retrieved from the AphasiaBank database. Five structured monologic discourse tasks were scored manually by trained scorers and via automation using a newly developed CLAN command based upon previously published lists for CoreLex. Point-to-point (or word-by-word) accuracy and reliability of the two methods were calculated. Scoring discrepancies were examined to identify errors. Time estimates for each method were calculated to determine if automated scoring improved efficiency.
resultsIntraclass correlation coefficients for the tasks ranged from .998 to .978, indicating excellent intermethod reliability. Automated scoring using CLAN represented a significant time savings for an experienced CLAN user and for inexperienced CLAN users following step-by-step instructions.
conclusionsAutomated scoring of CoreLex is a valid and reliable alternative to the current gold standard of manually scoring CoreLex from transcribed monologic discourse samples. The downstream time saving of this automated analysis may allow for more efficient and broader utilization of this discourse measure in aphasia research. To further encourage the use of this method, go to https://aphasia.talkbank.org/discourse/CoreLexicon/ for materials and the step-by-step instructions utilized in this project. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.20399304.
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