Systematic analysis of language transcripts solutions: A tutorial
J Heilmann, JF Miller - Perspectives of the ASHA Special Interest Groups, 2023 - ASHA
Purpose: In the early 1980s, researchers and speech-language pathologists (SLPs)
collaborated to develop the Systematic Analysis of Language Transcripts (SALT). Research …
collaborated to develop the Systematic Analysis of Language Transcripts (SALT). Research …
Language sample analysis with TalkBank: An update and review
B MacWhinney, D Fromm - Frontiers in communication, 2022 - frontiersin.org
This chapter examines state-of-the-art methods for coding, analyzing, and interpreting
discourse-level language data from children and adults with language disorders using the …
discourse-level language data from children and adults with language disorders using the …
[HTML][HTML] A cross-sectional investigation of disfluencies in typically developing Spanish-English bilingual children
Purpose This study examined the language skills and the type and frequency of disfluencies
in the spoken narrative production of typically developing Spanish-English bilingual …
in the spoken narrative production of typically developing Spanish-English bilingual …
The development of a digital story-retell elicitation and analysis tool through citizen science data collection, software development and machine learning
Background In order to leverage the potential benefits of technology to speech and
language therapy language assessment processes, large samples of naturalistic language …
language therapy language assessment processes, large samples of naturalistic language …
Dynamic norming and open science
B MacWhinney, N Bernstein Ratner - Journal of Speech, Language, and …, 2022 - ASHA
In a recent issue of JSLHR, Tucci et al.(2022) presented a method for assigning SEM scores
to a language sample. However, this method is based on data that are not publicly available …
to a language sample. However, this method is based on data that are not publicly available …
Using natural language processing and machine learning for the identification of child language disorders: Challenges and emerging approaches
JM Lammert - 2023 - osf.io
Running head: NLP AND ML METHODS FOR DLD DIAGNOSIS 1 Using Natural Language
Processing and Machine Learning for the Identificat Page 1 Running head: NLP AND ML …
Processing and Machine Learning for the Identificat Page 1 Running head: NLP AND ML …
[图书][B] Knowledge and Training in Language Sample Analysis of US Speech-Language Pathology Graduate Students
A Cornaglia - 2022 - search.proquest.com
Purpose: Speech-language pathologists (SLPs) play an integral role in identification and
treatment of developmental language disorders (DLD). Best practices include the use of …
treatment of developmental language disorders (DLD). Best practices include the use of …
Διερεύνηση του προσωπικού αφηγήματος των κυπριόπουλων παιδιών: Μικροδομική Ανάλυση
Α Λάμπρου - 2023 - ktisis.cut.ac.cy
Εισαγωγή: Η αφήγηση προσωπικών αφηγήσεων είναι μια ικανότητα που εμφανίζεται σχετικά
νωρίς και υφίσταται περαιτέρω ανάπτυξη καθ'όλη τη διάρκεια των προσχολικών και σχολικών …
νωρίς και υφίσταται περαιτέρω ανάπτυξη καθ'όλη τη διάρκεια των προσχολικών και σχολικών …