Search Results for author:
Found 8 papers, 0 papers with code
Reflections on 30 Years of Language Resource Development and Sharing
The Linguistic Data Consortium was founded in 1992 to solve the problem that limitations in access to shareable data was impeding progress in Human Language Technology research and development.
Identifying stable speech-language markers of autism in children: Preliminary evidence from a longitudinal telephony-based study
This study examined differences in linguistic features produced by autistic and neurotypical (NT) children during brief picture descriptions, and assessed feature stability over time.
The NIEUW Project: Developing Language Resources through Novel Incentives
NIEUW leverages the power of novel incentives to elicit linguistic data and annotations from a wide variety of contributors including citizen scientists, game players, and language students and professionals.
LanguageARC: Developing Language Resources Through Citizen Linguistics
Like other Citizen Science platforms and projects, LanguageARC harnesses the power and efforts of volunteers who are motivated by the incentives of contributing to science, learning and discovery, and belonging to a community dedicated to social improvement.
A Progress Report on Activities at the Linguistic Data Consortium Benefitting the LREC Community
This latest in a series of Linguistic Data Consortium (LDC) progress reports to the LREC community does not describe any single language resource, evaluation campaign or technology but sketches the activities, since the last report, of a data center devoted to supporting the work of LREC attendees among other research communities.
LanguageARC - a tutorial
LanguageARC is a portal that offers citizen linguists opportunities to contribute to language related research.
Creating HAVIC: Heterogeneous Audio Visual Internet Collection
Linguistic Data Consortium and the National Institute of Standards and Technology are collaborating to create a large, heterogeneous annotated multimodal corpus to support research in multimodal event detection and related technologies.
