Fix spacy convert argument
@@ -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
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
-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.
### Training the tagger and parser {#train-tagger-parser}
