* Improved stop words list
* Removed some wrong stop words form list
* Improved stop words list
* Removed some wrong stop words form list
* Improved Polish Tokenizer (#38)
* Add tests for polish tokenizer
* Add polish tokenizer exceptions
* Don't split any words containing hyphens
* Fix test case with wrong model answer
* Remove commented out line of code until better solution is found
* Add source srx' license
* Rename exception_list.py to match spaCy conventionality
* Add a brief explanation of where the exception list comes from
* Add newline after reach exception
* Rename COPYING.txt to LICENSE
* Delete old files
* Add header to the license
* Agreements signed
* Stanisław Giziński agreement
* Krzysztof Kowalczyk - signed agreement
* Mateusz Olko agreement
* Add DoomCoder's contributor agreement
* Improve like number checking in polish lang
* like num tests added
* all from SI system added
* Final licence and removed splitting exceptions
* Added polish stop words to LEX_ATTRA
* Add encoding info to pl tokenizer exceptions
* Example file does not adhere to json input spec.
According to the [json input spec ](https://spacy.io/api/annotation#json-input) the `id ` needs to be an `int` not a string. Using a string as `id` results in a `TypeError` when calling `spacy.gold.read_json_file()`.
* Add spaCy Contributor Agreement.
* modifying FR lookup to remove ambiguity and adding lookup vocab to FR files
* modifying FR lookup to remove ambiguity and adding lookup vocab to FR files
* updating the contributor agreement for amperinet
Resolves#3208.
Prevent interactions with other libraries (pandas) that also access `get_ipython().config` and its parameters. See #3208 for details. I don't fully understand why this happens, but in spaCy, we can at least make sure we avoid calling into this method.
<!--- Provide a general summary of your changes in the title. -->
## Description
<!--- Use this section to describe your changes. If your changes required
testing, include information about the testing environment and the tests you
ran. If your test fixes a bug reported in an issue, don't forget to include the
issue number. If your PR is still a work in progress, that's totally fine – just
include a note to let us know. -->
### Types of change
<!-- What type of change does your PR cover? Is it a bug fix, an enhancement
or new feature, or a change to the documentation? -->
## Checklist
<!--- Before you submit the PR, go over this checklist and make sure you can
tick off all the boxes. [] -> [x] -->
- [x] I have submitted the spaCy Contributor Agreement.
- [x] I ran the tests, and all new and existing tests passed.
- [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
* Added pyproject.toml
This adds the build requirements metadata to the repo, which can be used
with any build tools that implement PEP 517 and PEP 518 (e.g. pip, tox).
It is no longer necessary to have the build dependencies installed when
installing from source.
* Add python_requires for 2.7, 3.4+
This directive specifies in the build metadata which version of CPython
is supported by this version of spaCy, which pip will take into account
when determining what version to download. This will allow you to safely
drop old versions of Python without `pip install spaCy` breaking for those
versions.
* Add Python 3.7 to the trove classifiers
* Added the same punctuation rules as danish language.
* Added abbreviations and also the possibility to have capitalized abbreviations on some. Added a few specific cases too
* Added test for long texts in swedish
* Added morph rules, infixes and suffixes to __init__.py for swedish
* Added some tests for prefixes, infixes and suffixes
* Added tests for lemma
* Renamed files to follow convention
* [sv] Removed ambigious abbreviations
* Added more tests for tokenizer exceptions
* Added test for problem with punctuation in issue #2578
* Contributor agreement
* Removed faulty lemmatization of 'jag' ('I') as it was lemmatized to 'jaga' ('hunt')
Tamil language support to spaCy
Description
Hereby, creating new PR to add support for Tamil language in spaCy
added stop words, examples and numerical attributes
<--Working on other language data-->
Types of change
Enhancement
Checklist
[ x] I have submitted the spaCy Contributor Agreement.
[x ] I ran the tests, and all new and existing tests passed.
[ x] My changes don't require a change to the documentation, or if they do, I've added all required information.
* Update call to `mkdir()` to create the parents
- Update the call to `output_dir.mkdir()` to also create the parents if needed
* don't automatically create parents but fail fast if cannot create directory
* add signed contributors agreement for retnuh
* adding adverbs and irregular cases for empty words
* adding adverbs and irregular cases for empty words
* adding adverbs and irregular cases for empty words
* updating contributor agreement for amperinet
* modifying French lookup that contained wrong lemmas
* correcting wrong line breaks on hyphen
* adding contributor agreement for amperinet@
* correcting a typo
Somehow, 4.1.x seems to cause test failure due to get_marker – possibly needs to be investigated for spacy-models/tests and likely not relevant on develop anymore
This PR adds a test for an untested case of `Span.get_lca_matrix`, and fixes a bug for that scenario, which I introduced in [this PR](https://github.com/explosion/spaCy/pull/3089) (sorry!).
## Description
The previous implementation of get_lca_matrix was failing for the case `doc[j:k].get_lca_matrix()` where `j > 0`. A test has been added for this case and the bug has been fixed.
### Types of change
Bug fix
## Checklist
- [x] I have submitted the spaCy Contributor Agreement.
- [x] I ran the tests, and all new and existing tests passed.
- [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
* Test on #2396: bug in Doc.get_lca_matrix()
* reimplementation of Doc.get_lca_matrix(), (closes#2396)
* reimplement Span.get_lca_matrix(), and call it from Doc.get_lca_matrix()
* tests Span.get_lca_matrix() as well as Doc.get_lca_matrix()
* implement _get_lca_matrix as a helper function in doc.pyx; call it from Doc.get_lca_matrix and Span.get_lca_matrix
* use memory view instead of np.ndarray in _get_lca_matrix (faster)
* fix bug when calling Span.get_lca_matrix; return lca matrix as np.array instead of memoryview
* cleaner conditional, add comment
I have added alpha support for the Tagalog language from the Philippines. It is the basis for the country's national language Filipino. I have heavily based the format to the EN and ES languages.
I have provided several words in the lemmatizer lookup table, added stop words from a source, translated numeric words to its Tagalog counterpart, added some tokenizer exceptions, and kept the tag map the same as the English language.
While the alpha language passed the preliminary testing that you provided, I think it needs more data to be useful for most cases.
* Added alpha support for Tagalog language
* Edited contributor template
* Included SCA; Reverted templates
* Fixed SCA template
* Fixed changes in SCA template
* Add note that Unidic is required for Japanese
This addresses #3001. -POLM
* Add extras_require for mecab with old version
Related to issue #3018.
* mecab → ja
Co-Authored-By: polm <polm@dampfkraft.com>
* Upadate Unidic link for latest version in document
This patch improves #3017 . The link for Unidic was old version one, so will the lates version.
* Add contributor agreement
* Use more specific link for unidic-cwj
* modifying FR lemmatization for nouns
* modifying FR lemmatization for nouns
* adding contributor agreement for amperinet
* adding rules for words with inclusive parentheses wrongly tokenized
* adding contributor agreement for amperinet
* adding a missing comma
* updating rules and vocabulary for French lemmatization of verbs
* updating the file with French auxiliary verb
* updating rules and vocabulary for French lemmatization of verbs
* adding contributor agreement for amperinet
* adding rules for words with inclusive parentheses wrongly tokenized
