GEC Analyzer is a visualizer for Grammtical Error Correction efficiently.

• You can see the error correction easily.
• You can narrow down your search by error type (ERRANT definition).
• Because GEC Analyzer visualizes multiple references and hypotheses, you can analyze which error corrections are true, and which corrections that are different from other GEC systems.

python >=3.7

pip install -r requirements.txt
python -m spacy download en

python run.py --orig <orig file> --hyps <output files> --refs <reference files>

Then, please go to http://127.0.0.1:5000/.

• <output files> and <reference files> can be multiple.
• The format of each input file can be either M2 format or raw text. Note that you must use the .m2 extension for a M2 format file.
• M2 format can contain multiple references, but GEC Analyzer will display all of them.
• You can specify a mixture of raw text and M2 format files.
• If you specify raw text for --hyps or --refs, please also specify --orig. If you specify only M2 format files, --orig is not needed.

1. Use raw text files.

   python run.py \
   --orig demo/orig.txt \
   --refs demo/ref.txt \
   --hyps demo/hyp.txt

2. Use M2 file format files (--orig is not needed).

   python run.py \
   --refs demo/sample.m2 \
   --hyps demo/sample.m2

3. Use multiple raw text files for each option.

   python run.py \
   --orig demo/orig.txt \
   --refs demo/ref.txt demo/ref.txt \
   --hyps demo/hyp.txt demo/hyp.txt

4. Use mixture of M2 and raw text files for each option (This may be a rare case...).

   python run.py \
   --orig demo/orig.txt \
   --refs demo/sample.m2 demo/ref.txt \
   --hyps demo/sample.m2 demo/hyp.txt