* Dynamically include numpy headers
* Add `build-constraints.txt` with numpy version pins for building wheels with `pip` and `wheelwright`
* Update `setup.py` to add current numpy include directory
* Assume `cython` and `numpy` are installed for `setup.py`
* Remove included numpy headers
* Fix typo in requirements.txt
* Use script in CI
* Update blis and thinc version ranges
* Update thinc version range
* Update setup.cfg for python 3.9
* Adjust blis and thinc ranges
* Add python 3.9 classifier
* Update CI for python 3.9
* Add --prefer-binary to CI sdist install
* Update CI python 3.7 mac image
* Add --prefer-binary to Travis CI
* Update install instructions in README
* Specify blis versions separately for < / >= 3.6
* Update --prefer-binary in README
* Test cleaner sdist install
* Also upgrade pip
(This is kind of unnecessary given --prefer-binary but may avoid other
issues related to sdist installs in the future.)
* Compile with -j 2
* Remove wheel from setup_requires
* Update to have separate CI uninstall step
* Remove wheel from pyproject.toml
* Recommend upgrading setuptools in addition to pip
* Avoid a SyntaxError in self-attentive-parser
Fix a usage of quotation marks in the example of spaCy Universe self-attentive-parser
* Create forest1988.md
Fill in the spaCy contributor agreement
* Update pip in CI
* Use --prefer-binary
* Use `--prefer-binary`
* Delete all installed packages before testing source install
* sdist install with --only-binary :all:
For the `DependencyMatcher`:
* Fix on_match callback so that it is called once per matched pattern
* Fix results so that patterns with empty match lists are not returned
Modify the internal pattern representation in `Matcher` patterns to
identify the final ID state using a unique quantifier rather than a
combination of other attributes.
It was insufficient to identify the final ID node based on an
uninitialized `quantifier` (coincidentally being the same as the `ZERO`)
with `nr_attr` as 0. (In addition, it was potentially bug-prone that
`nr_attr` was set to 0 even though attrs were allocated.)
In the case of `{"OP": "!"}` (a valid, if pointless, pattern), `nr_attr`
is 0 and the quantifier is ZERO, so the previous methods for
incrementing to the ID node at the end of the pattern weren't able to
distinguish the final ID node from the `{"OP": "!"}` pattern.
* added single and paired orth variants
* added token match
* added long text tokenization test
* inverted init
* normalized lemmas to lowercase
* more abbrevs
* tests for ordinals and abbrevs
* separated period abbvrevs to another list
* fiex typo
* added ordinal and abbrev tests
* added number tests for dates
* minor refinement
* added inflected abbrevs regex
* added percentage and inflection
* cosmetics
* added token match
* added url inflection tests
* excluded url tokens from custom pattern
* removed url match import
* Adding Mindmeld to Universe JSON
Mindmeld is a conversational AI platform for deep-domain voice interfaces and chatbots. https://www.mindmeld.com/
* Signing contribution agreement.
Co-authored-by: kunshar2 <kunshar2@cisco.com>
* Include Macedonian language
* Fix indentation at char_classes.py
* Fix indentation at char_classes.py
* Add Macedonian tests, update lex_attrs and char_classes
* Import unicode literals for python 2
* added tr_vocab to config
* basic test
* added syntax iterator to Turkish lang class
* first version for Turkish syntax iter, without flat
* added simple tests with nmod, amod, det
* more tests to amod and nmod
* separated noun chunks and parser test
* rearrangement after nchunk parser separation
* added recursive NPs
* tests with complicated recursive NPs
* tests with conjed NPs
* additional tests for conj NP
* small modification for shaving off conj from NP
* added tests with flat
* more tests with flat
* added examples with flats conjed
* added inner func for flat trick
* corrected parse
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* feat: added turkish tag map
* feat: morph rules cconj and sconj
* feat: more conjuncts
* feat: added popular postpositions
* feat: added adverbs
* feat: added personal pronouns
* feat: added reflexive pronouns
* minor: corrected case capital
* minor: fixed comma typo
* feat: added indef pronouns
* feat: added dict iter
* fixed comma typo
* updated language class with tag map and morph
* use default tag map instead
* removed tag map
* Hindi: Adds tests for lexical attributes (norm and like_num)
* Signs and sdds the contributor agreement
* Add ordinal numbers to be tagged as like_num
* Adds alternate pronunciation for 31 and 39
