Runyankore-Rukiga Corpus

  Runyakitara is standard language based on four closely related languages of western Uganda. These four languages are ((Ru)nyore, (Ru)tooro, (Ru)nyankore, and (Ru)kiga. 
  These languages are spoken in south-western Uganda    by approximately 6 million people according to the Uganda National Population and Housing Census  report
  (2014). (Ru)nyankore (ISO 639-3 nyn) and  (Ru)kiga (ISO 639-3 cgg ) are spoken in the Ankola and the Kigeza region respectively.

Here we refer to (Ru)nyankore, and (Ru)kiga as Runyankore-Rukiga.

Download

The material consists of ... [ -- packaged -- time stamped ---]. It consists of 298 sentences; naturally occurring data, as well as elicited sentences . The data is provided in XML format.

Description of the of the TypeCraft Runyankore-Rukiga corpus

Creation

The TypeCraft Runyankore-Rukiga corpus of which the data presented here is a part, consists of narratives and short stories, as well as elicited data. Texts are either transcriptions of oral narratives or fragments of newspaper texts from the Runyankore-Rukiga weekly newspaper Orumuri. We also digitalised sections taken from the novel Abagyenda Bareeba ‘Adventures of travelers' by Mubangizi (1997). The data was created by native-speaker graduates as part of their class work or in the context of their master’s thesis between 2006 and 20xx. The creation process was a collaborative effort coordinated by the principal investigators Dr. Allen Asiimwe (Makerere University, Uganda) and Prof. Dorothee Beermann (NTNU, Trondheim) . The main student contributers were Justus Turamyomwe and Misah Natumanya and Allen Asiimwe. The collection has been extended continuously. For a closer look at the entire corpus please go to TypeCraft.org. Select from the TypeCraft Tools menu, Search Texts. The Search interface lets you choose a language. To see all texts in Runyankore-Rukiga, type the name into the provided field.

Size and Format

Annotations and Standards

↑ TypeCraft allows users to create their own sentence collections from an existing corpus which allows them to apply new annotations within the bounds set by the system.

[1] TypeCraft allows users to create their own sentence collections from an existing corpus which allows them to apply new annotations within the bounds set by the system.

[1]