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Fix spacy convert argument

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Adriane Boyd 2020-06-16 20:41:17 +02:00
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website/docs/usage/adding-languages.md
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@ -634,7 +634,7 @@ One thing to keep in mind is that spaCy expects to train its models from **whole
documents**, not just single sentences. If your corpus only contains single documents**, not just single sentences. If your corpus only contains single
sentences, spaCy's models will never learn to expect multi-sentence documents, sentences, spaCy's models will never learn to expect multi-sentence documents,
leading to low performance on real text. To mitigate this problem, you can use leading to low performance on real text. To mitigate this problem, you can use
the `-N` argument to the `spacy convert` command, to merge some of the sentences the `-n` argument to the `spacy convert` command, to merge some of the sentences
into longer pseudo-documents. into longer pseudo-documents.
### Training the tagger and parser {#train-tagger-parser} ### Training the tagger and parser {#train-tagger-parser}