MUNasir/umsuka-en-zu

Languages:

• Source language: English

• Source language: isiZulu

Model Details:

• model: transformer

• Architecture: MarianMT

• pre-processing: normalization + SentencePiece

Pre-trained Model:

• https://huggingface.co/Helsinki-NLP/opus-mt-en-xh

Corpus:

• Umsuka English-isiZulu Parallel Corpus (https://zenodo.org/record/5035171#.Yh5NIOhBy3A)

Benchmark:

Benchmark	Train	Test
Umsuka	17.61	13.73

GitHub:

• https://github.com/umair-nasir14/Geographical-Distance-Is-The-New-Hyperparameter

Citation:

@article{umair2022geographical,
  title={Geographical Distance Is The New Hyperparameter: A Case Study Of Finding The Optimal Pre-trained Language For English-isiZulu Machine Translation},
  author={Umair Nasir, Muhammad and Amos Mchechesi, Innocent},
  journal={arXiv e-prints},
  pages={arXiv--2205},
  year={2022}
}