title: Is there a bi gram or tri gram feature in Spacy?
body: <p>The below code breaks the sentence into individual tokens and the output is as below </p>
  
  <pre><code> "cloud"  "computing"  "is" "benefiting"  " major"  "manufacturing"  "companies"
  
  
  import en_core_web_sm
  nlp = en_core_web_sm.load()
  
  doc = nlp("Cloud computing is benefiting major manufacturing companies")
  for token in doc:
      print(token.text)
  </code></pre>
  
  <p>What I would ideally want is, to read 'cloud computing' together as it is technically one word. </p>
  
  <p>Basically I am looking for a bi gram. Is there any feature in Spacy that allows Bi gram or Tri grams ?</p>