ID: 20220118012930191-46

Researcher: Sabine Stoll, Dagmar Jung, Steven Moran, Robert Schikowski, Damián Ezequiel Blasi, Jekaterina Mažara, Guanghao You, Anna Jancso

WP: Other

PI: Sabine Stoll

Abstract: The goal of the ACQDIV project is to identify universal cognitive processes that enable language acquisition despite the substantial cross-linguistic variation found in the world’s languages. To create the language sample needed to study typological diversity, ten grammatically maximally different languages were initially included, which were identified by applying a fuzzy clustering algorithm that takes as input a set of languages and their typological feature values (e.g. grammatical case, inflectional categories, nominal synthesis). The ACQDIV is being regularly updated. To this date, three more languages have been added, making 13 in total in the current database.

Publication DOI: https://doi.org/10.5281/zenodo.3558643

Data Type: video/audio recordings, transcribed speech, linguistic annotation

Data Format: wav, mp4, toolbox, elan, xml, cha, sqlite3, RData

Git: https://github.com/acqdiv/acqdiv