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The ACQDIV Database: Min(d)ing the Ambient Language

Moran, Steven; Schikowski, Robert; Pajović, Danica; Hysi, Cazim; Stoll, Sabine (2016). The ACQDIV Database: Min(d)ing the Ambient Language. In: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), Portorož, Slovenia, 23 May 2016 - 28 May 2016. European Language Resources Association (ELRA), 4423-4429.

Abstract

One of the most pressing questions in cognitive science remains unanswered: what cognitive mechanisms enable children to learn any of the world’s 7000 or so languages? Much discovery has been made with regard to specific learning mechanisms in specific languages, however, given the remarkable diversity of language structures (Evans and Levinson, 2009; Bickel, 2014) the burning question remains: what are the underlying processes that make language acquisition possible, despite substantial cross-linguistic variation in phonology, morphology, syntax, etc.? To investigate these questions, a comprehensive cross-linguistic database of longitudinal child language acquisition corpora from maximally diverse languages has been built.

Additional indexing

Item Type:Conference or Workshop Item (Paper), original work
Communities & Collections:06 Faculty of Arts > Department of Comparative Language Science
Dewey Decimal Classification:490 Other languages
890 Other literatures
410 Linguistics
Scopus Subject Areas:Social Sciences & Humanities > Linguistics and Language
Social Sciences & Humanities > Library and Information Sciences
Social Sciences & Humanities > Language and Linguistics
Social Sciences & Humanities > Education
Language:English
Event End Date:28 May 2016
Deposited On:26 Jan 2017 10:24
Last Modified:04 Nov 2024 09:27
Publisher:European Language Resources Association (ELRA)
OA Status:Green

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