* Add arch for MishWindowEncoder
* Support mish in tok2vec and conv window >=2
* Pass new tok2vec settings from parser
* Syntax error
* Fix tok2vec setting
* Fix registration of MishWindowEncoder
* Fix receptive field setting
* Fix mish arch
* Pass more options from parser
* Support more tok2vec options in pretrain
* Require thinc 7.3
* Add docs [ci skip]
* Require thinc 7.3.0.dev0 to run CI
* Run black
* Fix typo
* Update Thinc version
Co-authored-by: Ines Montani <ines@ines.io>
* Implement new API for {Phrase}Matcher.add (backwards-compatible)
* Update docs
* Also update DependencyMatcher.add
* Update internals
* Rewrite tests to use new API
* Add basic check for common mistake
Raise error with suggestion if user likely passed in a pattern instead of a list of patterns
* Fix typo [ci skip]
* Update English tag_map
Update English tag_map based on this conversion table:
https://universaldependencies.org/tagset-conversion/en-penn-uposf.html
* Update German tag_map
Update German tag_map based on this conversion table:
https://universaldependencies.org/tagset-conversion/de-stts-uposf.html
* Add missing Tiger dependencies to glossary
* Add quotes to definition of TO
* Update POS/TAG tables in docs
Update POS/TAG tables for English and German docs using current
information generated from the tag_maps and GLOSSARY.
* Update warning that -PRON- is specific to English
* Revert docs to default JSON output with convert
* Revert "Revert docs to default JSON output with convert"
This reverts commit 6b78c048f1.
* Support train dict format as JSONL
* Add (overly simple) check for dict vs. tuple to read JSONL lines as
either train dicts or train tuples
* Extend JSON/JSONL roundtrip conversion tests using `docs_to_json()`
and `GoldCorpus.train_tuples`
* Revert docs to default JSON output with convert
* Move test
* Allow default in Lookups.get_table
* Start with blank tables in Lookups.from_bytes
* Refactor lemmatizer to hold instance of Lookups
* Get lookups table within the lemmatization methods to make sure it references the correct table (even if the table was replaced or modified, e.g. when loading a model from disk)
* Deprecate other arguments on Lemmatizer.__init__ and expect Lookups for consistency
* Remove old and unsupported Lemmatizer.load classmethod
* Refactor language-specific lemmatizers to inherit as much as possible from base class and override only what they need
* Update tests and docs
* Fix more tests
* Fix lemmatizer
* Upgrade pytest to try and fix weird CI errors
* Try pytest 4.6.5
