Language: Arapaho

Corpus creator(s): Andrew Cowell
Archive: ELAR
Annotation files license: Creative Commons Attribution License
Audio files license: Creative Commons Attribution License
Translation: English

The Arapaho DoReCo dataset was compiled by Andrew Cowell between 2001 and 2006 and further processed for DoReCo by Aleksandr Schamberger, Ludger Paschen, and Matthew Stave between 2019 and 2024. The files that the Arapaho DoReCo dataset are based on are part of a larger collection of Andrew Cowell's Arapaho data that is archived at ELAR (http://hdl.handle.net/2196/00-0000-0000-0002-E4CC-C).

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

The Arapaho DoReCo dataset should be cited as follows:

Cowell, Andrew. 2024. Arapaho 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/arap1274 (Accessed on 10/04/2025). DOI:10.34847/nkl.36f5r1b6 

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