This is a Transformer-based English spell checker trained on 7M+ generated parallel sentences.
- Clone this repository
- Create a virtual environment (e.g.,
python3 -m venv .pyenv) - Install requirements (e.g.,
pip install -r requirements.txt) - Download the pretrained model and extract the content (
tar zxvf model7m.tar.gz) - Run:
$ echo "tisimptant too spll chck ths dcment." \
| python src/tokenize.py \
| fairseq-interactive model7m/ \
--path model7m/checkpoint_best.pt \
--source-lang fr --target-lang en --beam 10 \
| python src/format_fairseq_output.py
It's important to spell check this document.
This spell checker clearly understands the long-range structures of the language:
$ echo "The book Tom and Jerry put on the yellow desk yesterday war about NLP."
| python src/tokenize.py \
| fairseq-interactive model7m/ \
--path model7m/checkpoint_best.pt \
--source-lang fr --target-lang en \
| python src/format_fairseq_output.py
The book Tom and Jerry put on the yellow desk yesterday was about NLP.
$ echo "The books Tom and Jerry put on the yellow desk yesterday war about NLP." \
| python src/tokenize.py \
| fairseq-interactive model7m/ \
--path model7m/checkpoint_best.pt \
--source-lang fr --target-lang en \
| python src/format_fairseq_output.py
The books Tom and Jerry put on the yellow desk yesterday were about NLP.
See The Unreasonable Effectiveness of the Transformer Spell Checker.
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