Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Child Language | 2 |
Children | 2 |
Classification | 2 |
Language Acquisition | 2 |
Natural Language Processing | 2 |
Abstract Reasoning | 1 |
Accuracy | 1 |
Allied Health Personnel | 1 |
Artificial Intelligence | 1 |
Automation | 1 |
Brain Hemisphere Functions | 1 |
More ▼ |
Author
Caplan, Spencer | 1 |
Hugo Gonzalez Villasanti | 1 |
Jing Sun | 1 |
Kodner, Jordan | 1 |
Laura M. Justice | 1 |
Leydi Johana Chaparro-Moreno | 1 |
Mary Beth Schmitt | 1 |
Schuler, Kathryn D. | 1 |
Publication Type
Journal Articles | 2 |
Reports - Evaluative | 1 |
Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Leydi Johana Chaparro-Moreno; Hugo Gonzalez Villasanti; Laura M. Justice; Jing Sun; Mary Beth Schmitt – Journal of Speech, Language, and Hearing Research, 2024
Purpose: This study examines the accuracy of Interaction Detection in Early Childhood Settings (IDEAS), a program that automatically transcribes audio files and estimates linguistic units relevant to speech-language therapy, including part-of-speech units that represent features of language complexity, such as adjectives and coordinating…
Descriptors: Speech Language Pathology, Allied Health Personnel, Speech Therapy, Children
Schuler, Kathryn D.; Kodner, Jordan; Caplan, Spencer – First Language, 2020
In 'Against Stored Abstractions,' Ambridge uses neural and computational evidence to make his case against abstract representations. He argues that storing only exemplars is more parsimonious -- why bother with abstraction when exemplar models with on-the-fly calculation can do everything abstracting models can and more -- and implies that his…
Descriptors: Language Processing, Language Acquisition, Computational Linguistics, Linguistic Theory