spacy 2.0.11 on Python PyPI

✨ New features and improvements

NEW: Alpha Vietnamese support with tokenization via Pyvi.
NEW: Improved system for error messages and warnings. Errors now have unique error codes and are referenced in one place, and all unspecified asserts have been replaced with descriptive errors. See #2163 for implementation details, and let us know if you have any suggestions for errors and warnings in #2164!
Improve language data for Polish.
Tidy up dependencies and drop six, html5lib, ftfy and requests.
Improve efficiency (and potentially accuracy) of beam-search training, by randomly using greedy updates for some sentences. This can be controlled by changing the beam_update_prob entry in nlp.parser.cfg. The default value is 0.5, so 50% of beam updates will be done as greedy updates.

Fix issue #1554, #1752, #2159: Fix Token.ent_iob after Doc.merge(), and ensure consistency in Doc.ents.
Fix issue #1660: Fix loading of multiple vector models.
Fix issue #1967: Allow entity types with dashes.
Fix issue #2032: Fix accidentally quadratic runtime in Vocab.set_vector.
Fix issue #2050: Correct mistakes in Italian lemmatizer data.
Fix issue #2073: Make Token.set_extension work as expected.
Fix issue #2100, #2151, #2181: Drop six and html5lib and prevent dependency conflict with TensorFlow / Keras.
Fix issue #2101: Improve error message if token text is empty string.
Fix issue #2121: Fix Language.to_bytes and pickling in Thinc.
Fix issue #2156: Fix hashtag example in Matcher docs.
Fix issue #2177: Don't raise error in set_extension if getter and setter are specified or if default=None, and add error if setter is specified with no getter.

Thanks to @jimregan, @justindujardin, @trungtv, @katrinleinweber and @skrcode for the pull requests and contributions.