Language: Resígaro

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

The Resígaro DoReCo dataset was compiled by Frank Seifart between 2004 and 2009 and further processed for DoReCo by Frank Seifart, Ludger Paschen, and Matthew Stave between 2019 and 2022. The files that the Resígaro DoReCo dataset are based on are part of a larger collection of Frank Seifart's Resígaro data that is archived at TLA (https://hdl.handle.net/1839/00-0000-0000-0008-38F4-0).

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

The Resígaro DoReCo dataset should be cited as follows:

Seifart, Frank. 2024. Resígaro DoReCo dataset. In Seifart, Frank, Ludger Paschen and Matthew Stave (eds.). Language Documentation Reference Corpus (DoReCo) 2.0. Lyon: Laboratoire Dynamique Du Langage (UMR5596, CNRS & Université Lyon 2). https://doreco.huma-num.fr/languages/resi1247 (Accessed on 26/03/2025). DOI:10.34847/nkl.ffb96lo8 

Please note that when actual data from any number of DoReCo datasets is used, the full reference for each individual dataset must be provided, including the name(s) of the creator(s) of each dataset. It is NOT sufficient to refer to DoReCo as a whole. We are aware that this may result in very long lists of references, but it is only in this way that corpus creators get due recognition for their work. The default is to include the full set of bibliographical references in the reference section of the main text of a paper or abstract. If this is absolutely impossible (because of page limit restrictions, for instance), then inclusion of the full list of references in an appendix is acceptable, or - as a last resort - in supplementary material published separately, e.g. on Zenodo or OSF, in which case the main text of the paper or the abstract must explicitly refer to this list and provide its URL or PID.

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