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website/docs/usage/adding-languages.jade

@@ -639,6 +639,8 @@ p
 
 +h(2, "vocabulary") Building the vocabulary
 
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     |  spaCy expects that common words will be cached in a
     |  #[+api("vocab") #[code Vocab]] instance. The vocabulary caches lexical
@@ -732,6 +734,8 @@ p
 
 +h(3, "word-vectors") Training the word vectors
 
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     |  #[+a("https://en.wikipedia.org/wiki/Word2vec") Word2vec] and related
     |  algorithms let you train useful word similarity models from unlabelled
@@ -766,6 +770,8 @@ p
 
 +h(2, "train-tagger-parser") Training the tagger and parser
 
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     |  You can now train the model using a corpus for your language annotated
     |  with #[+a("http://universaldependencies.org/") Universal Dependencies].