mirror of https://github.com/explosion/spaCy.git
ad2a514cdf
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. |
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| .. | ||
| __init__.py | ||
| dependencymatcher.pyx | ||
| matcher.pxd | ||
| matcher.pyx | ||
| phrasematcher.pyx | ||