* Relax version requirement for `stanfordnlp` to include v0.2.0.
Thanks to buhrmann for the pull request!
0.1.1
* Add `Tokenizer.pipe` method for duck-type compatibility with spaCy's built-in tokenizer. * Allow passing of empty text strings for compatibility with spaCy.
Thanks to buhrmann for the pull requests!
0.1.0
* Employ user hooks to map StanfordNLP's pretrained word embeddings to spaCy's token vectors. * Fix spaCy dependency.
Thanks to buhrmann for the pull request!
0.0.3
* Fix issue 2: Improve handling of input text / token text mismatches, e.g. `"des"` → `["de", "les"]`. * Fix issue 3: Set lemmas after setting POS tags to prevent spaCy from applying its own lemma rules.