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Update troubleshooting guide
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@ -100,7 +100,9 @@ p
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| #[+a("/usage/models#languages") alpha tokenizers] for
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| #[+a("/usage/models#languages") alpha tokenizers] for
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| languages that don't yet have a statistical model, you should import its
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| languages that don't yet have a statistical model, you should import its
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| #[code Language] class instead, for example
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| #[code Language] class instead, for example
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| #[code from spacy.lang.bn import Bengali].
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| #[code from spacy.lang.bn import Bengali]. You can also use
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| #[+api("top-level#spacy.blank") #[code spacy.blank]] to create a blank
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| instance, e.g. #[code nlp = spacy.blank('bn')].
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+h(3, "command-not-found") Command not found
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+h(3, "command-not-found") Command not found
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@ -115,7 +117,7 @@ p
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| maps #[code spacy] to #[code python -m spacy]. If this is not working as
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| maps #[code spacy] to #[code python -m spacy]. If this is not working as
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| expected, run the command with #[code python -m], yourself –
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| expected, run the command with #[code python -m], yourself –
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| for example #[code python -m spacy download en]. For more info on this,
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| for example #[code python -m spacy download en]. For more info on this,
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| see #[+api("cli#download") download].
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| see the #[+api("cli#download") #[code download]] command.
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+h(3, "module-load") 'module' object has no attribute 'load'
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+h(3, "module-load") 'module' object has no attribute 'load'
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@ -143,7 +145,7 @@ p
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| as well, giving "it" — or maybe "he"? spaCy's solution is to introduce a
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| as well, giving "it" — or maybe "he"? spaCy's solution is to introduce a
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| novel symbol, #[code -PRON-], which is used as the lemma for
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| novel symbol, #[code -PRON-], which is used as the lemma for
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| all personal pronouns. For more info on this, see the
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| all personal pronouns. For more info on this, see the
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| #[+api("annotation#lemmatization") annotation specs] on lemmatization.
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| #[+a("/api/annotation#lemmatization") lemmatization specs].
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+h(3, "catastrophic-forgetting") NER model doesn't recognise other entities anymore after training
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+h(3, "catastrophic-forgetting") NER model doesn't recognise other entities anymore after training
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