Computer-Aided Language Development in Nonspeaking Children (1968) [pdf]
Summary
A 1968 paper on using computers to aid language development in non-speaking children.
View Cached Full Text
Cached at: 06/28/26, 07:58 PM
Similar Articles
Evaluating Developmental Cognition Capabilities of LLMs
This paper introduces the Developmental Sentence Completion Test (DSCT) to evaluate Large Language Models' ability to recognize developmental cognitive stages in text, finding that models perform better on synthetic personas than on real human responses.
@dair_ai: Outstanding paper on computer-using agents. (bookmark it) Computer-using agents drive real software through the screen,…
PreAct compiles successful agent runs into small state-machine programs, enabling 8.5-13x faster replay on repeated tasks without per-step language model calls, with runtime screen checks to ensure correctness.
ChildVox: A Speech, Audio, and Large Audio-Language Model Benchmark in Understanding and Characterizing Sound across Childhood
ChildVox presents a comprehensive benchmark for analyzing children's acoustic communication across developmental stages, integrating over 20 sub-tasks from 17 child-centered audio and speech datasets.
Language Game: Talking to Non-Human Systems
This paper introduces a framework called 'Language Game' that enables dialogue with non-neural biological systems (e.g., gene regulatory networks) by treating communication as a game where the system's internal dynamics are frozen as a reinforcement learning policy, and only linear interfaces are trained. The approach allows diverse systems to communicate fluently without altering their parameters.
Building an ASR Solution for Training and Assessing Children's Reading
Presents an open-source ASR system for assessing children's reading in Bambara, including field data collection, benchmark construction, model adaptation, and classroom validation, achieving significant word error rate reduction.