Language: Bora

Corpus creator(s): Frank Seifart
Archive: TLA TLA
Annotation files license: Creative Commons Attribution License
Audio files license: Creative Commons Attribution License
Translation: Spanish

The Bora DoReCo dataset was compiled by Frank Seifart between 2004 and 2008 and further processed by the DoReCo team (in particular Frank Seifart, Ludger Paschen, and Matthew Stave) between 2019 and 2022. The files that the Bora DoReCo dataset are based on are part of a larger collection of Frank Seifart's Bora data that is archived at TLA (https://hdl.handle.net/1839/00-0000-0000-0008-38E5-2). The files with a "mc_" prefix are based on Frank Seifart and Tai Hong's Bora Multi-CAST collection (https://multicast.aspra.uni-bamberg.de/#bora), and these are 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).

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

The Bora DoReCo dataset should be cited as follows:

Seifart, Frank. 2022. Bora 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/bora1263 (Accessed on 16/11/2024). DOI:10.34847/nkl.6eaf5laq 

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