A Django web app whose main functionality is converting text from the modern Bulgarian spelling into the historic Ivanchevski spelling.
The web app is currently hosted here: https://pravopis.osvedomitel.bg/
The main spelling conversion logic is in converter/converter.py, with some helper logic in converter/process_vocabs.py and converter/pos_tagger.py.
For some cases, we need part-of-speech (POS) tagging to determine the correct spelling of a given word. For this purpose we use a multilingual BERT model fine-tuned for POS tagging on the Bulgarian language (The dataset used for training is the one provided by Bulgarian Tree Bank).
The trained weights are not included in the repo, since they're a little too big. For now I've uploaded them here. They should go into converter/static/converter/bert_model/bert_last_epoch.h5.
If they're not provided, the app will still work, but not do POS tagging.
To run locally, you'd need to create a secrets.py file in the converter_web_app directory where a SECRET_KEY variable is defined with a random string that Django can use for a secret key.
Then just install dependencies and run the Django dev server
pip install -r requirements.py
python manage.py runserver
For the POS tagging using BERT, a lot of code was reused from this repo: https://github.com/soutsios/pos-tagger-bert
For the certbot integration, I used the approach described here: https://github.com/wmnnd/nginx-certbot
All code in this repository is licensed under the terms of the MIT License. For further information please refer to the LICENSE.md file.