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README.md
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#### Languages:
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- Source language: English
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- Source language: isiZulu
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#### Model Details:
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- model: transformer
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- Architecture: MarianMT
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- pre-processing: normalization + SentencePiece
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#### Pre-trained Model:
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- https://huggingface.co/Helsinki-NLP/opus-mt-en-xh
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#### Corpus:
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- Umsuka English-isiZulu Parallel Corpus (https://zenodo.org/record/5035171#.Yh5NIOhBy3A)
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#### Benchmark:
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| Benchmark | Train | Test |
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| Umsuka | 17.61 | 13.73 |
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#### GitHub:
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- https://github.com/umair-nasir14/Geographical-Distance-Is-The-New-Hyperparameter
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#### Languages:
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- Source language: English
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- Source language: isiZulu
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#### Model Details:
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- model: transformer
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- Architecture: MarianMT
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- pre-processing: normalization + SentencePiece
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#### Pre-trained Model:
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- https://huggingface.co/Helsinki-NLP/opus-mt-en-xh
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#### Corpus:
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- Umsuka English-isiZulu Parallel Corpus (https://zenodo.org/record/5035171#.Yh5NIOhBy3A)
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#### Benchmark:
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| Benchmark | Train | Test |
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|-----------|-------|-------|
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| Umsuka | 17.61 | 13.73 |
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#### GitHub:
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- https://github.com/umair-nasir14/Geographical-Distance-Is-The-New-Hyperparameter
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#### Citation:
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```
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@article{umair2022geographical,
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title={Geographical Distance Is The New Hyperparameter: A Case Study Of Finding The Optimal Pre-trained Language For English-isiZulu Machine Translation},
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author={Umair Nasir, Muhammad and Amos Mchechesi, Innocent},
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journal={arXiv e-prints},
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pages={arXiv--2205},
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year={2022}
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}
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```
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