Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

The predictability of name pronunciation errors in four South African languages

Domain:

natural language processing
Creator:
M KM.H. Davel
Publisher:
unp
Host:avatar

Visit

doi.orgwww.researchgate.net

Similar

A Southern African corpus for multilingual name pronunciationSome Pronunciation-Induced Spelling Errors in Cameroon EnglishSLR32 – High Quality TTS Data for Four South African LanguagesDevelopment of linguistically annotated parallel language resources for four South African languagesMining Wikidata for Name Resources for African LanguagesMining Wikidata for Name Resources for African Languages

A Southern African corpus for multilingual name pronunciation

Some Pronunciation-Induced Spelling Errors in Cameroon English

This paper focuses on the spelling mistakes that are idiosyncratically imposed by phonological varia

SLR32 – High Quality TTS Data for Four South African Languages

Identifier: SLR32License: CC BY-SA 4.0Source: https://www.openslr.org/32/ This dataset contains mult

Development of linguistically annotated parallel language resources for four South African languages

For this project, we collected and annotated data to develop language resources for the four official South African Nguni languages written with a conjunctive orthography. The data for these four languages is parallel to allow for comparative (computational) lingui

Mining Wikidata for Name Resources for African Languages

This work supports further development of language technology for the languages of Africa by providing a Wikidata-derived resource of name lists corresponding to common entity types (person, location, and organization). While we are not the first to mine Wikidata f

Mining Wikidata for Name Resources for African Languages

This work supports further development of language technology for the languages of Africa by providing a Wikidata-derived resource of name lists corresponding to common entity types (person, location, and organization). While we are not the first to mine Wikidata f