Year: 2025
Type: article
Abstract: Advances in computer technology have produced a flood of new data sets for understanding human language. However, nearly all these new datasets are based on written, rather than spoken, language. This means that, despite their importance, open-access data on naturally occurring spoken language conversations are much more difficult to obtain. The major exception to this is the TalkBank system, which provides online multimedia data for 15 types of spoken language data: language in aphasia, child language, stuttering, child phonology, autism spectrum disorder (ASD), bilingualism, Conversation Analysis, classroom discourse, dementia, psychosis, right hemisphere damage (RHD), Danish conversation, second language learning, traumatic brain injury (TBI), and day-long recordings in the home. This article reviews these resources and describes the ways that they are being used to further our understanding of language learning and usage.
Author: Brian MacWhinney
Institution: Carnegie Mellon University
Language: English
Subfield: Developmental and Educational Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $3,900
Awards: G1387794580, G1614851681, HNDS-I: A Collaborative Annotation System for Language Research, G3022566452, G3217867368, G520742254, G6837848865, AphasiaBank: A Shared Database for the Study of Aphasic Communication, PhonBank integration within TalkBank: Acquisition, disorders, dysfluencies and paraphasias
OpenAlex ID: W4407556017