#### 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}
}
```