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oov confusion fix (#10828)
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@ -115,7 +115,7 @@ The Finnish, Korean and Swedish `md` and `lg` pipelines use
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running a trained pipeline on texts and working with [`Doc`](/api/doc) objects,
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you shouldn't notice any difference with floret vectors. With floret vectors no
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tokens are out-of-vocabulary, so [`Token.is_oov`](/api/token#attributes) will
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return `True` for all tokens.
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return `False` for all tokens.
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If you access vectors directly for similarity comparisons, there are a few
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differences because floret vectors don't include a fixed word list like the
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