* Add custom MatchPatternError
* Improve validators and add validation option to Matcher
* Adjust formatting
* Never validate in Matcher within PhraseMatcher
If we do decide to make validate default to True, the PhraseMatcher's Matcher shouldn't ever validate. Here, we create the patterns automatically anyways (and it's currently unclear whether the validation has performance impacts at a very large scale).
In most cases, the PhraseMatcher will match on the verbatim token text or as of v2.1, sometimes the lowercase text. This means that we only need a tokenized Doc, without any other attributes.
If phrase patterns are created by processing large terminology lists with the full `nlp` object, this easily can make things a lot slower, because all components will be applied, even if we don't actually need the attributes they set (like part-of-speech tags, dependency labels).
The warning message also includes a suggestion to use nlp.make_doc or nlp.tokenizer.pipe for even faster processing. For now, the validation has to be enabled explicitly by setting validate=True.
* 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
## Description
1. Added the same infix rule as in French (`d'une`, `j'ai`) for Italian (`c'è`, `l'ha`), bringing F-score on `it_isdt-ud-train.txt` from 96% to 99%. Added unit test to check this behaviour.
2. Added specific Urdu punctuation character as suffix, improving F-score on `ur_udtb-ud-train.txt` from 94% to 100%. Added unit test to check this behaviour.
### Types of change
Enhancement of Italian & Urdu tokenization
## 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.
* replace unicode categories with raw list of code points
* simplifying ranges
* fixing variable length quotes
* removing redundant regular expression
* small cleanup of regexp notations
* quotes and alpha as ranges instead of alterations
* removed most regexp dependencies and features
* exponential backtracking - unit tests
* rewrote expression with pathological backtracking
* disabling double hyphen tests for now
* test additional variants of repeating punctuation
* remove regex and redundant backslashes from load_reddit script
* small typo fixes
* disable double punctuation test for russian
* clean up old comments
* format block code
* final cleanup
* naming consistency
* french strings as unicode for python 2 support
* french regular expression case insensitive
* 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.
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## Description
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### Types of change
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or new feature, or a change to the documentation? -->
## Checklist
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tick off all the boxes. [] -> [x] -->
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* running UD eval
* printing timing of tokenizer: tokens per second
* timing of default English model
* structured output and parameterization to compare different runs
* additional flag to allow evaluation without parsing info
* printing verbose log of errors for manual inspection
* printing over- and undersegmented cases (and combo's)
* add under and oversegmented numbers to Score and structured output
* print high-freq over/under segmented words and word shapes
* printing examples as part of the structured output
* print the results to file
* batch run of different models and treebanks per language
* cleaning up code
* commandline script to process all languages in spaCy & UD
* heuristic to remove blinded corpora and option to run one single best per language
* pathlib instead of os for file paths
