title: Spacy is_stop doesn't identify stop words?
body: <p>When I use SpaCy to identify stopwords, it doesn't work if I use the <code>en_core_web_lg</code> corpus, but it does work when I use <code>en_core_web_sm</code>. Is this a bug, or am I doing something wrong?</p>
  
  <pre><code>import spacy
  nlp = spacy.load('en_core_web_lg')
  
  doc = nlp(u'The cat ran over the hill and to my lap')
  
  for word in doc:
      print(f' {word} | {word.is_stop}')
  </code></pre>
  
  <p>Result:</p>
  
  <pre><code> The | False
   cat | False
   ran | False
   over | False
   the | False
   hill | False
   and | False
   to | False
   my | False
   lap | False
  </code></pre>
  
  <p>However, when I change this line to use the <code>en_core_web_sm</code>corpus, I get different results:</p>
  
  <pre><code>nlp = spacy.load('en_core_web_sm')
  
   The | False
   cat | False
   ran | False
   over | True
   the | True
   hill | False
   and | True
   to | True
   my | True
   lap | False
  </code></pre>