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Reformat word frequencies section in "adding languages" workflow

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Ines Montani 2016-12-19 17:18:38 +01:00
parent ddf5c5bb61
commit a2525c76ee
1 changed files with 14 additions and 8 deletions
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22
website/docs/usage/adding-languages.jade
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@ -424,16 +424,22 @@ p
+h(3, "word-frequencies") Word frequencies +h(3, "word-frequencies") Word frequencies
p p
| The #[code init.py] script expects a tab-separated word frequencies file | The #[+src(gh("spacy-dev-resources", "training/init.py")) init.py]
| with three columns: the number of times the word occurred in your language | script expects a tab-separated word frequencies file with three columns:
| sample, the number of distinct documents the word occurred in, and the
| word itself. You should make sure you use the spaCy tokenizer for your +list("numbers")
+item The number of times the word occurred in your language sample.
+item The number of distinct documents the word occurred in.
+item The word itself.
p
| You should make sure you use the spaCy tokenizer for your
| language to segment the text for your word frequencies. This will ensure | language to segment the text for your word frequencies. This will ensure
| that the frequencies refer to the same segmentation standards you'll be | that the frequencies refer to the same segmentation standards you'll be
| using at run-time. For instance, spaCy's English tokenizer segments "can't" | using at run-time. For instance, spaCy's English tokenizer segments
| into two tokens. If we segmented the text by whitespace to produce the | "can't" into two tokens. If we segmented the text by whitespace to
| frequency counts, we'll have incorrect frequency counts for the tokens | produce the frequency counts, we'll have incorrect frequency counts for
| "ca" and "n't". | the tokens "ca" and "n't".
+h(3, "brown-clusters") Training the Brown clusters +h(3, "brown-clusters") Training the Brown clusters