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# English to Isoko
Author: iroro orife
## Data
- The JW300 English-Isoko dataset.
## Model
- Default Masakhane Transformer translation model.
- [Link to google drive folder with models](https://drive.google.com/drive/folders/1r3A75C0Tzy67JdMF-_msaXwB3sNoQnmZ)
## Analysis
The dataset requires more preprocessing to remove special characters and Scripture chapters/verse names & figures. This will make the model more generally useful outside of religious text translations. More precisely, we intend to clean up the following types of sentences:
```
( Se 1 Pita 1 : 22 . )
[ 1 ] ( edhe - ẹme avọ 1 )
( Se Nehemaya 13 : 23 , 24 . )
( b ) Ẹvẹ ma sai ro le utee mai tobọ ?
( Se Ahwo Rom 15 : 1 , 2 . )
( Se Eviavia 21 : 3 - 6 . )
( Se 1 Jọn 5 : 14 , 15 . )
```
Example 1
```sh
Source: Still , words of apology are a strong force toward making peace .
Reference: Ghele na , eme unu - uwou u re fi obọ họ gaga evaọ eruo udhedhẹ .
Hypothesis: Ghele na , eme unu - uwou yọ ẹgba ologbo nọ ma re ro ru udhedhẹ .
```
Example 2
```sh
Source: We can even ask God to ‘ create in us a pure heart . ’
Reference: Ma rẹ sae tubẹ yare Ọghẹnẹ re ọ ‘ kẹ omai eva efuafo . ’
Hypothesis: Ma rẹ sae tubẹ yare Ọghẹnẹ re ọ ‘ ma omai eva efuafo . ’
```
# Results
Tokenization | BLEU dev | BLEU test
--- | --- | ---
BPE| 32.58 | 38.05
Word-level | 32.38 | 38.91