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Encoder Language Models for Southern African Languages

Domaine:

natural language processing

Type de record:

model
Créateur:
Visser, Ruan
Éditeur:
Grobler, TrienkoDunaiski, Marcel
Éditeur:
Zenodo
Hôte:avatar

A collection of encoder-based models trained on Southern African languages, utilizing language-specific subsets from a cleaned mC4 text corpus. The models are trained on the following languages and language combinations:

  • Zulu
  • Xhosa
  • Swahili
  • Zulu + Xhosa (ZX)
  • Zulu + Xhosa + Swahili (ZXS)
  • Zulu + Xhosa + Swahili + Shona + Nyanja (All)

For each language or combination, the following models have been trained:

  • BERT-base
  • BERT-small
  • ConvBERT-base
  • ConvBERT-small
  • ELECTRA-base
  • ELECTRA-small

These models are used in Visser et al., "Insights Into Low-Resource Language Modelling: Improving Model Performances for South African Languages," Journal of Universal Computer Science, 2024, Insights into Low-Resource….