Language: Northern Kurdish (Kurmanji)

Corpus creator(s): Geoff Haig, Maria Vollmer and Hanna Thiele
Archive: Multi-CAST
Annotation files license: Creative Commons Attribution License
Audio files license: Creative Commons Attribution License
Translation: English

The Northern Kurdish (Kurmanji) DoReCo dataset was compiled by Geoff Haig, Maria Vollmer and Hanna Thiele between 2000 and 2004 and further processed by the DoReCo team (in particular Frederic Blum, Ludger Paschen and Matthew Stave) between 2019 and 2022. The Northern Kurdish (Kurmanji) DoReCo dataset with an "mc_" prefix are from Geoff Haig, Maria Vollmer, and Hanna Thiele's Northern Kurdish (Kurmanji) Multi-CAST dataset, 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 Northern Kurdish (Kurmanji) DoReCo dataset, including metadata and PIDs is automatically included in each bulk download of files from this dataset.

The Northern Kurdish (Kurmanji) DoReCo dataset should be cited as follows:

Haig, Geoff, Maria Vollmer and Hanna Thiele. 2022. Northern Kurdish (Kurmanji) DoReCo dataset. In Seifart, Frank, Ludger Paschen and Matthew Stave (eds.). Language Documentation Reference Corpus (DoReCo) 1.1. Berlin & Lyon: Leibniz-Zentrum Allgemeine Sprachwissenschaft & laboratoire Dynamique Du Langage (UMR5596, CNRS & Université Lyon 2). https://doreco.huma-num.fr/languages/nort2641 (Accessed on 09/12/2022). DOI:10.34847/nkl.ca10ez5t 

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