A Django web app whose main functionality is converting text from the modern Bulgarian spelling into the historic Ivanchevski spelling.
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.