AIMC Topic: Language Tests

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Early Identification of Language Disorders Using Natural Language Processing and Machine Learning: Challenges and Emerging Approaches.

Journal of speech, language, and hearing research : JSLHR Jan 9, 2025
PURPOSE: Recent advances in artificial intelligence provide opportunities to capture and represent complex features of human language in a more automated manner, offering potential means of improving the efficiency of language assessment. This review...
Early Diagnosis Language Tests Language Disorders Language Development Disorders Humans Machine Learning Child Natural Language Processing
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Discourse- and lesion-based aphasia quotient estimation using machine learning.

NeuroImage. Clinical Apr 6, 2024
Discourse is a fundamentally important aspect of communication, and discourse production provides a wealth of information about linguistic ability. Aphasia commonly affects, in multiple ways, the ability to produce discourse. Comprehensive aphasia as...
Magnetic Resonance Imaging Neuropsychological Tests Language Tests Aphasia Aged Adult Male Middle Aged Humans Machine Learning Brain Female
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Evaluating atypical language in autism using automated language measures.

Scientific reports May 26, 2021
Measurement of language atypicalities in Autism Spectrum Disorder (ASD) is cumbersome and costly. Better language outcome measures are needed. Using language transcripts, we generated Automated Language Measures (ALMs) and tested their validity. 169 ...
Humans Autism Spectrum Disorder Female Male Natural Language Processing Language Tests Attention Deficit Disorder with Hyperactivity Language Disorders Logistic Models Magnetic Resonance Imaging Models, Neurological Diagnosis, Differential Severity of Illness Index Functional Neuroimaging Adolescent Child
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Machine learning-based multimodal prediction of language outcomes in chronic aphasia.

Human brain mapping Dec 30, 2020
Recent studies have combined multiple neuroimaging modalities to gain further understanding of the neurobiological substrates of aphasia. Following this line of work, the current study uses machine learning approaches to predict aphasia severity and ...
Chronic Disease Stroke Outcome Assessment, Health Care Neuroimaging Functional Neuroimaging Support Vector Machine Magnetic Resonance Imaging Multimodal Imaging Cerebrovascular Circulation Diffusion Tensor Imaging Language Tests Aphasia Humans Female Aged Aged, 80 and over Adult Male Middle Aged Severity of Illness Index
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EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia.

International journal of neural systems May 28, 2020
The Temporal Sampling Framework (TSF) theorizes that the characteristic phonological difficulties of dyslexia are caused by an atypical oscillatory sampling at one or more temporal rates. The LEEDUCA study conducted a series of Electroencephalography...
Cerebral Cortex Dyslexia Connectome Neural Networks, Computer Psycholinguistics Speech Perception Humans Language Tests Child Unsupervised Machine Learning Electroencephalography
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Machine learning in the clinical and language characterisation of primary progressive aphasia variants.

Cortex; a journal devoted to the study of the nervous system and behavior May 18, 2019
INTRODUCTION: Primary progressive aphasia (PPA) is a clinical syndrome of neurodegenerative origin with 3 main variants: non-fluent, semantic, and logopenic. However, there is some controversy about the existence of additional subtypes. Our aim was t...
Humans Machine Learning Brain Female Speech Aged Language Tests Male Aphasia, Primary Progressive Middle Aged
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A semi-supervised Support Vector Machine model for predicting the language outcomes following cochlear implantation based on pre-implant brain fMRI imaging.

Brain and behavior Oct 12, 2015
INTRODUCTION: We developed a machine learning model to predict whether or not a cochlear implant (CI) candidate will develop effective language skills within 2 years after the CI surgery by using the pre-implant brain fMRI data from the candidate.
Image Interpretation, Computer-Assisted Cochlear Implantation Hearing Loss, Sensorineural Language Tests Child, Preschool Humans Magnetic Resonance Imaging Language ROC Curve Models, Neurological Brain Treatment Outcome Female Hypnotics and Sedatives Prognosis Support Vector Machine Male Area Under Curve Infant
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A systematic literature review of automatic Alzheimer's disease detection from speech and language.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2020
OBJECTIVE: In recent years numerous studies have achieved promising results in Alzheimer's Disease (AD) detection using automatic language processing. We systematically review these articles to understand the effectiveness of this approach, identify ...
Natural Language Processing Alzheimer Disease Machine Learning Language Tests Speech Humans Language Disorders Decision Trees Artificial Intelligence
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Predicting Language Difficulties in Middle Childhood From Early Developmental Milestones: A Comparison of Traditional Regression and Machine Learning Techniques.

Journal of speech, language, and hearing research : JSLHR Aug 8, 2018
PURPOSE: The current study aimed to compare traditional logistic regression models with machine learning algorithms to investigate the predictive ability of (a) communication performance at 3 years old on language outcomes at 10 years old and (b) bro...
Language Development Disorders Humans Machine Learning Male Logistic Models Algorithms Child, Preschool Female Predictive Value of Tests Child Language Tests Child Language
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Computer science. Beyond the Turing Test.

Science (New York, N.Y.) Jan 9, 2015
Humans Artificial Intelligence Software Language Comprehension History, 20th Century Language Tests Congresses as Topic
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