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oov confusion fix (#10828)

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kadarakos 2022-05-23 09:15:51 +02:00 committed by GitHub
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@ -115,7 +115,7 @@ The Finnish, Korean and Swedish `md` and `lg` pipelines use
running a trained pipeline on texts and working with [`Doc`](/api/doc) objects, running a trained pipeline on texts and working with [`Doc`](/api/doc) objects,
you shouldn't notice any difference with floret vectors. With floret vectors no you shouldn't notice any difference with floret vectors. With floret vectors no
tokens are out-of-vocabulary, so [`Token.is_oov`](/api/token#attributes) will tokens are out-of-vocabulary, so [`Token.is_oov`](/api/token#attributes) will
return `True` for all tokens. return `False` for all tokens.
If you access vectors directly for similarity comparisons, there are a few If you access vectors directly for similarity comparisons, there are a few
differences because floret vectors don't include a fixed word list like the differences because floret vectors don't include a fixed word list like the