Embedding Evaluation Data for South African Languages

WordSim and Simlex Data for South African Languages

Setswana

Sepedi

Embedding Evaluation Data for South African Languages

Dataset Information\

The datasets(Simlex and WordSim) contain pairs of Setswana and Sepedi words that have been assigned similarity ratings by humans to measure semantic relatedness. The word-pairs(Simlex and WordSim) are manually translated from English to Setswana and Sepedi. The evaluation task aims to find the degree of correlation between the scores provided by the model and the human rating, the score of the model is collected by computing the cosine similarity of corresponding vectors for word pairs.

Online Repository link

Zenodo Data Repository - Link to the data repository.

Authors

Vukosi Marivate - @vukosi

Valencia Wagner

Mack Makgatho

Tshephisho Sefara

See also the list of contributors who participated in this project.

Citing the dataset

To appear in conference proceedings

@article{Makgatho_Marivate_Sefara_Wagner_2022, title={Training Cross-Lingual embeddings for Setswana and Sepedi}, 
volume={3}, 
url={https://upjournals.up.ac.za/index.php/dhasa/article/view/3822}, 
DOI={10.55492/dhasa.v3i03.3822}, 
number={03},
journal={Journal of the Digital Humanities Association of Southern Africa },
author={Makgatho, Mack and Marivate, Vukosi and Sefara, Tshephisho and Wagner, Valencia}, 
year={2022}, 
month={Feb.}}