# English to Xitsonga

Author: Laura Martinus

## Data

	- The JW300 dataset.

## Model

	- Default Masakhane Transformer translation model.
	- Link to google drive folder with model(https://drive.google.com/open?id=1onvLxPsRoem2KGnykp2vLEIe4GldDl84)

## Analysis

 	- TODO

# Results
	- BLEU dev: 35.07
	- BLEU test: 44.15 

	- Note: It is probably best to train this model for longer, as it timed out on Google Colab
	- Note: Will likely benefit from optimising the number of BPE codes

	Ran with BPE set to 40 000 instead of 4 000 and got the following:
	- BLEU dev: 39.01
	- BLEU test: 46.41