fairseq/examples/m2m_100/tokenizers/README.md

# M2M-100 Tokenization

We apply different tokenization strategies for different languages following the existing literature. Here we provide tok.sh a tokenizer that can be used to reproduce our results.

To reproduce the results, follow these steps:

```
tgt_lang=...
reference_translation=...
cat generation_output | grep -P "^H" | sort -V | cut -f 3- | sh tok.sh $tgt_lang > hyp
cat $reference_translation |sh tok.sh $tgt_lang > ref
sacrebleu -tok 'none' ref < hyp
```

## Installation

Tools needed for all the languages except Arabic can be installed by running install_dependencies.sh
If you want to evaluate Arabic models, please follow the instructions provided here: http://alt.qcri.org/tools/arabic-normalizer/ to install