#### 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}
}
```


{}
transformers pytorch marian text2text-generation autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #marian #text2text-generation #autotrain_compatible #endpoints_compatible #region-us 

#### Languages:


* Source language: English
* Source language: isiZulu


#### Model Details:


* model: transformer
* Architecture: MarianMT
* pre-processing: normalization + SentencePiece


#### Pre-trained Model:


* URL


#### Corpus:


* Umsuka English-isiZulu Parallel Corpus (URL


#### Benchmark:


Benchmark: Umsuka, Train: 17.61, Test: 13.73


#### GitHub:


* URL


:



#### Languages:


* Source language: English
* Source language: isiZulu #### Model Details:


* model: transformer
* Architecture: MarianMT
* pre-processing: normalization + SentencePiece #### Pre-trained Model:


* URL #### Corpus:


* Umsuka English-isiZulu Parallel Corpus (URL #### Benchmark:


Benchmark: Umsuka, Train: 17.61, Test: 13.73 #### GitHub:


* URL


:
TAGS
#transformers #pytorch #marian #text2text-generation #autotrain_compatible #endpoints_compatible #region-us 
 #### Languages:


* Source language: English
* Source language: isiZulu #### Model Details:


* model: transformer
* Architecture: MarianMT
* pre-processing: normalization + SentencePiece #### Pre-trained Model:


* URL #### Corpus:


* Umsuka English-isiZulu Parallel Corpus (URL #### Benchmark:


Benchmark: Umsuka, Train: 17.61, Test: 13.73 #### GitHub:


* URL


:
passage: TAGS
#transformers #pytorch #marian #text2text-generation #autotrain_compatible #endpoints_compatible #region-us 
#### Languages:


* Source language: English
* Source language: isiZulu#### Model Details:


* model: transformer
* Architecture: MarianMT
* pre-processing: normalization + SentencePiece#### Pre-trained Model:


* URL#### Corpus:


* Umsuka English-isiZulu Parallel Corpus (URL#### Benchmark:


Benchmark: Umsuka, Train: 17.61, Test: 13.73#### GitHub:


* URL


: