Research graph
References from Convergence between AI chatbot-calculated microstructure measures and SALT analysis of child language samples. Local targets link to admitted publications; unresolved targets remain external evidence.
User's guide to correlation coefficients
10.1016/j.tjem.2018.08.001 · 2018 · External reference
Harnessing AI for aphasia: a case report on ChatGPT's role in supporting written expression
10.3389/fresc.2025.1600145 · 2025 · External reference
Unresolved reference
2004 · External reference
Acoustic analysis in stuttering: a machine-learning study
10.3389/fneur.2023.1169707 · 2023 · External reference
Perceptions of artificial intelligence and ChatGPT by speech-language pathologists and students
10.1044/2024_ajslp-24-00218 · 2025 · External reference
10.31219/osf.io/5ue7n
10.31219/osf.io/5ue7n · External reference
Use of an ambient artificial intelligence tool to improve quality of clinical documentation
10.1016/j.fhj.2024.100157 · 2024 · External reference
Predicting developmental language disorders using artificial intelligence and a speech data analysis tool
10.1080/07370024.2023.2242837 · 2024 · External reference
Artificial intelligence–assisted speech therapy for /ɹ/: a single-case experimental study
10.1044/2024_ajslp-23-00448 · 2024 · External reference
Equipping speech-language clinicians for the critical appraisal of an artificial intelligence–driven, evidence-based future
10.1044/2025_lshss-24-00085 · 2025 · External reference
Transforming pediatric speech and language disorder diagnosis and therapy: the evolving role of artificial intelligence
10.1016/j.hsr.2024.100188 · 2024 · External reference
Is there any room for ChatGPT AI bot in speech-language pathology?
10.1007/s00405-025-09295-y · 2025 · External reference
Narrative as a tool for the assessment of linguistic and pragmatic impairments
10.1191/0265659002ct224oa · 2002 · External reference
Unresolved reference
2020 · External reference
How ChatGPT works: a mini review
10.1007/s00405-023-08337-7 · 2024 · External reference
Unresolved reference
2024 · External reference
An introduction to machine learning for speech-language pathologists: concepts, terminology, and emerging applications
10.1044/2024_persp-24-00037 · 2025 · External reference
The validity of a parent report measure of vocabulary and syntax at 24 months
10.1044/jshr.3403.565 · 1991 · External reference
Unresolved reference
External reference
Developmental trends in lexical diversity
10.1093/applin/25.2.220 · 2004 · External reference
Synthesizing information from language samples and standardized tests in school-age bilingual assessment
10.1044/2016_lshss-16-0007 · 2017 · External reference
Unresolved reference
External reference
Mathematical capabilities of ChatGPT
10.52202/075280-1205 · 2023 · External reference
Macrostructural organization of adults' oral narrative texts
10.21248/zaspil.62.2019.449 · External reference
MAIN: multilingual assessment instrument for narratives
10.21248/zaspil.56.2019.414 · External reference
Transforming speech-language pathology with AI: opportunities, challenges, and ethical guidelines
10.3390/healthcare13192460 · 2025 · External reference
ChatGPT outperforms crowd workers for text-annotation tasks
10.1073/pnas.2305016120 · 2023 · External reference
Artificial intelligence in communication sciences and disorders: introduction to the forum
10.1044/2024_jslhr-24-00594 · 2024 · External reference
Stench of errors or the shine of potential: the challenge of (Ir)responsible use of ChatGPT in speech-language pathology
10.1111/1460-6984.70088 · 2025 · External reference
Shared and divergent patterns in narrative skills: comparing English monolingual and Japanese–English bilingual children
10.3389/fpsyg.2026.1747702 · 2026 · External reference
Sensitivity of narrative organization measures using narrative retells produced by young school-age children
10.1177/0265532209355669 · External reference
Language sampling: does the length of the transcript matter?
10.1044/0161-1461(2009/09-0023) · External reference
Assessing functional language in school-aged children using language sample analysis
10.1044/2020_persp-19-00079 · 2020 · External reference
ChatGPT is bullshit
10.1007/s10676-024-09775-5 · 2024 · External reference
Using large language models for narrative analysis: a novel application of generative AI
10.1016/j.metip.2025.100183 · 2025 · External reference
An exploration of automated narrative analysis via machine learning
10.1371/journal.pone.0224634 · 2019 · External reference
The index of narrative microstructure: a clinical tool for analyzing school-age children's narrative performances
10.1044/1058-0360(2006/017) · 2006 · External reference
Language sample analysis and elicitation technique effects in bilingual children with and without language impairment
10.1044/2017_jslhr-l-16-0335 · 2017 · External reference
Clinical language sampling practices: results of a survey of speech-language pathologists in the United States
10.1177/026565909701300204 · 1997 · External reference
Unresolved reference
2025 · External reference
10.36227/techrxiv.22645561
10.36227/techrxiv.22645561 · External reference
“Text analysis with large language models (LLMs),”
10.1007/978-3-031-89689-7_13 · 2026 · External reference
Language sample analysis in clinical practice: speech-language pathologists' barriers, facilitators, and needs
10.1044/2021_lshss-21-00026 · 2022 · External reference
Utterance length and lexical diversity in cantonese-speaking children with and without specific language impairment
10.1044/1092-4388(2004/104) · 2004 · External reference
ChatGPT for language teaching and learning
10.1177/00336882231162868 · 2023 · External reference
The relationship between narrative microstructure and macrostructure: differences between six- and eight-year-olds
10.2478/plc-2022-0007 · 2022 · External reference
Early identification of language disorders using natural language processing and machine learning: challenges and emerging approaches
10.1044/2024_jslhr-24-00515 · 2025 · External reference
Unresolved reference
External reference
Current applications and perceptions of generative ai in speech-language pathology clinical practice and research
10.15724/jslhd.2025.34.1.155 · 2025 · External reference
Exploring AI-Based Support in Speech-Language Pathology for Culturally and Linguistically Diverse Children.,
10.1145/3706598.3714131 · 2025 · External reference
Automation of language sample analysis
10.1044/2023_jslhr-22-00642 · 2023 · External reference
Multidisciplinary perspectives on automatic analysis of children's language samples: where do we go from here?
10.1159/000527427 · 2023 · External reference
Unresolved reference
2000 · External reference
Language sample analysis with talkbank: an update and review
10.3389/fcomm.2022.865498 · 2022 · External reference
Concurrent validity of caregiver/parent report measures of language for children who are learning both English and Spanish
10.1044/1092-4388(2002/080) · 2002 · External reference
Unresolved reference
2019 · External reference
The relation between age and mean length of utterance in morphemes
10.1044/jshr.2402.154 · 1981 · External reference
“Concurrent Validity,”
2010 · External reference
Prompting AI art: an investigation into the creative skill of prompt engineering
10.1080/10447318.2024.2431761 · 2025 · External reference
Know when to trust: making AI scoring more reliable for educational assessment
10.3758/s13428-026-03058-1 · 2026 · External reference
Retelling a model story improves the narratives of polish-english bilingual children
10.1080/13670050.2018.1434124 · 2020 · External reference
Lexical diversity in the spontaneous speech of children with specific language impairment
10.1044/1092-4388(2002/075) · 2002 · External reference
A comparative study between mean length of utterance in morphemes (MLUm) and mean length of utterance in words (MLUw)
10.1177/0142723705059114 · 2005 · External reference
Use of language sample analysis by school-based SLPs: results of a nationwide survey
10.1044/2016_lshss-15-0044 · 2016 · External reference
Preparing teachers for the application of AI-powered technologies in foreign language education
10.2478/jolace-2019-0025 · 2019 · External reference
A comprehensive bibliometric and content analysis of artificial intelligence in language learning: tracing between the years 2017 and 2023
10.1007/s10462-023-10643-9 · 2024 · External reference
Unresolved reference
2021 · External reference
Sharpening our tools: a systematic review to identify diagnostically accurate language sample measures
10.1044/2022_jslhr-22-00121 · 2022 · External reference
Mean length of utterance levels in 6-month intervals for children 3 to 9 years with and without language impairments
10.1044/1092-4388(2009/08-0183) · 2010 · External reference
Intraclass correlations: uses in assessing rater reliability
10.1037/0033-2909.86.2.420 · 1979 · External reference
An examination of the use of large language models to aid analysis of textual data
10.1177/16094069241231168 · 2024 · External reference
Validity of a parent report measure of vocabulary and syntax for preschool children with language impairment
10.1044/jslhr.4202.482 · 1999 · External reference
10.1145/3364138.3364158
10.1145/3364138.3364158 · 2020 · External reference
Validity and reliability of the communication and symbolic behavior scales developmental profile with very young children
10.1044/1092-4388(2002/097) · 2002 · External reference
Updates on clinical language sampling practices: a survey of speech-language pathologists practicing in the United States
10.1044/2024_lshss-24-00035 · 2024 · External reference
Unresolved reference
2021 · External reference
Artificial intelligence and the future of communication sciences and disorders: a bibliometric and visualization analysis
10.1044/2024_jslhr-24-00157 · External reference
A review of chatbot-assisted learning: pedagogical approaches, implementations, factors leading to effectiveness, theories, and future directions
10.1080/10494820.2023.2202704 · External reference
