- different, more consistent handling of end-of-word token (commit a749a7) (https://github.com/rsennrich/subword-nmt/issues/19)
- allow passing of vocabulary and frequency threshold to apply_bpe.py, preventing the production of OOV (or rare) subword units (commit a00db)
- made learn_bpe.py deterministic (commit 4c54e)
- various changes to make handling of UTF more consistent between Python versions
- new command line arguments for apply_bpe.py:
- '--glossaries' to prevent given strings from being affected by BPE
- '--merges' to apply a subset of learned BPE operations
- new command line arguments for learn_bpe.py:
- '--dict-input': rather than raw text file, interpret input as a frequency dictionary (as created by get_vocab.py).