5 Commits

Author	SHA1	Message	Date
Ines Montani	ad2a514cdf	Show warning if phrase pattern Doc was overprocessed (#3255) ... 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.	2019-02-13 01:45:31 +11:00
Ines Montani	694139aad3	Fix formatting [ci skip]	2019-02-08 16:32:36 +01:00
Ines Montani	2898768757	Remove unused attribute [ci skip]	2019-02-08 16:31:30 +01:00
Ines Montani	25602c794c	Tidy up and fix small bugs and typos	2019-02-08 14:14:49 +01:00
Ines Montani	1ea4df459d	💫 Break up large matcher.pyx (#3236) ... * Break up large matcher.pyx * Remove unused function	2019-02-07 19:42:25 +11:00