Language: Vera'a

Corpus creator(s): Stefan Schnell
Archive: TLA TLA
Annotation files license: Creative Commons Attribution License
Audio files license: Creative Commons Attribution License
Translation: English

The Vera'a DoReCo dataset was compiled by Stefan Schnell in 2007 and further processed by the DoReCo team (in particular Stephan Lünser, Ludger Paschen, and Matthew Stave) between 2019 and 2022. The files that the Vera'a DoReCo dataset are based on are taken from Stefan Schnell's Vera'a Multi-CAST data (https://multicast.aspra.uni-bamberg.de/#veraa), and they additionally annotated with the GRAID (Grammatical Relations and Animacy in Discourse) and RefIND (Referent Indexing in Natural Language Discourse) annotation schemes (see https://multicast.aspra.uni-bamberg.de). Stefan Schnell's Vera'a DoReCo (and Multi-CAST) dataset are based on files that are part of a larger collection of Stefan Schnell's Vera'a DoReCo data are is archived at TLA (https://hdl.handle.net/1839/00-0000-0000-000A-2494-8).

A set of files with further information on the Vera'a DoReCo dataset, including metadata and PIDs is automatically included in each bulk download of files from this dataset.

The Vera'a DoReCo dataset should be cited as follows:

Schnell, Stefan . 2022. Vera'a DoReCo dataset. In Seifart, Frank, Ludger Paschen and Matthew Stave (eds.). Language Documentation Reference Corpus (DoReCo) 1.2. Berlin & Lyon: Leibniz-Zentrum Allgemeine Sprachwissenschaft & laboratoire Dynamique Du Langage (UMR5596, CNRS & Université Lyon 2). https://doreco.huma-num.fr/languages/vera1241 (Accessed on 23/06/2024). DOI:10.34847/nkl.3e2cu8c4 

Please note that when citing this dataset, or any number of DoReCo datasets, it is NOT sufficient to refer to DoReCo as a whole, but the full citation for each individual dataset must be provided, including the name(s) of the creator(s) of each data set.

Dataset files :download audio filesdownload core annotation files
Name Speaker(s) Age(s) Speaker(s) Gender(s) Genre Gloss Word tokens
Dataset files :download extended annotation files
Name Speaker(s) Age(s) Speaker(s) Gender(s) Genre Gloss Word tokens