Language: Yongning Na

Corpus creator(s): Alexis Michaud
Archive: Pangloss
Annotation files license: Creative Commons Attribution-NonCommercial-ShareAlike License
Audio files license: Creative Commons Attribution-NonCommercial-ShareAlike License
Translation: French

The Yongning Na DoReCo dataset was compiled by Alexis Michaud between 2006 and 2012 and further processed for DoReCo by Celia Birle, Ludger Paschen, and Matthew Stave between 2019 and 2022. The files that the Yongning Na DoReCo dataset are based on are part of a larger collection of Alexis Michaud's Yongning Na data that is archived at Pangloss (https://pangloss.cnrs.fr/corpus/Yongning_Na?lang=en).

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

The Yongning Na DoReCo dataset should be cited as follows:

Michaud, Alexis. 2024. Yongning Na 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/yong1270 (Accessed on 07/01/2025). DOI:10.34847/nkl.abe65p95 

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