To empirically assign severity levels (e.g., mild, moderate) to four relatively new patient-reported outcome measures (PROMs) for adults with acquired cognitive/language disorders. They include the Co...
We conducted 17 focus groups that comprised 22 adults with an acquired cognitive/language disorder from stroke, Parkinson's disease, or traumatic brain injury; 30 care partners of an adult with an acq...
There was generally good agreement among the stakeholder groups about how to classify vignettes, particularly when they reflected very high or low functioning. People with aphasia described a larger r...
Standardized, stakeholder-informed severity levels that aid interpretation of PROM scores can help clinicians and researchers derive better clinical meaning from those scores, for example, by identify...
A major barrier to the wider use of language sample analysis (LSA) is the fact that transcription is very time intensive. Methods that can reduce the required time and effort could help in promoting t...
This article describes an automated pipeline, called Batchalign, that takes raw audio and creates full transcripts in Codes for the Human Analysis of Talk (CHAT) transcription format, complete with ut...
For work with recordings from adults with language disorders, six major results were obtained: (a) The word error rate was between 2.4% for controls and 3.4% for patients, (b) utterance tokenization a...
The pipeline dramatically shortens the time gap between data collection and data analysis and provides an output superior to that typically generated by human transcribers....
It has been well-documented that language input designed according to the principles of statistical learning can promote language acquisition among children with or without language disorder. Cantones...
The purpose of this study was to compare child language assessment practices of speech-language pathologists (SLPs) working in school and nonschool settings to determine if their place of employment i...
School-based SLPs (e.g., direct service providers employed in preschool and/or K-12 schools;...
Both school-based and non-school-based SLPs reported using a combination of assessment tools when evaluating children with potential language disorders. School-based SLPs tended to rank the frequency ...
SLPs practicing in school-based settings seem to handle more employment-based factors that impact independent diagnostic decision making than SLPs working in different employment settings when assessi...
Language production has often been described as impaired in psychiatric diseases such as in psychosis. Nevertheless, little is known about the characteristics of linguistic difficulties and their rela...
To date, cerebellar contribution to language is well established via clinical and neuroimaging studies. However, the particular functional role of the cerebellum in language remains to be clarified. I...
The authors applied natural language processing and machine learning to explore the disease-related language patterns that warrant objective measures for assessing language ability in Japanese patient...
The authors obtained 276 speech samples from 42 patients with AD and 52 healthy controls, aged 50 years or older. A natural language processing library for Python was used, spaCy, with an add-on libra...
The model resulted in an accuracy of 0.84 (SD = 0.06), and an area under the curve of 0.90 (SD = 0.03). Among the features that were important for such predictions, seven of the top 10 features were r...
The current study demonstrated a promising level of accuracy for predicting AD and found the language patterns corresponding to the type of lexical-semantic decline known as 'empty speech', which is r...
Language sample analysis (LSA) is invaluable to describe and understand child language use and development for clinical purposes and research. Digital tools supporting LSA are available, but many of t...
To better understand the complexity, challenges, and future needs of automatic LSA from a technological perspective, including the tasks of transcribing, annotating, and analysing natural child langua...
Existing tools vary in their extent of automation provided across the process of LSA. Advances in machine learning for speech recognition and processing have potential to facilitate LSA, but the speci...
Syntax has been called the structural foundation of language, as its development allows for more efficient and effective communication. Complex syntax production is known to lag in children and adoles...
Conversational, narrative, and expository language samples were elicited from 85 children with typically developing language ages 8;0-11;11 (years;months). Samples were transcribed and analyzed for th...
Syntactic measures differed significantly across the three sampling contexts. Namely, narrative and expository language samples elicited longer utterances and more syntactically complex language than ...
Differences in syntactic measures between conversation and narrative samples and conversation and expository samples within children ages 8-11 years support use of narrative and expository contexts as...
Acquired central dysgraphia is a heterogeneous neurological disorder that usually co-occurs with other language disorders. Written language training is relevant to improve everyday skills and as a com...
We performed a systematic review of speech and language therapies for acquired dysgraphia in studies of neurological diseases (PROSPERO: CRD42018084221), following the PRISMA (Preferred Reporting Item...
Eleven studies of 43 patients in total were included. For each study, we collected data on type of population, type of impairment, experimental design, type of treatment, and measured outcomes. The st...
Although there is a need for further experimental evidence, most treatments showed good applicability and improvement of written skills in patients with dysgraphia. Lexical treatments appear to be mor...
