title: Is it possible to use spacy with already tokenized input?
body: <p>I have a sentence that has already been tokenized into words. I want to get the part of speech tag for each word in the sentence. When I check the documentation in SpaCy I realized it starts with the raw sentence. I don't want to do that because in that case, the spacy might end up with a different tokenization. Therefore, I wonder if using spaCy with the list of words (rather than a string) is possible or not ? </p>
  
  <p>Here is an example about my question:</p>
  
  <pre><code># I know that it does the following sucessfully :
  import spacy
  nlp = spacy.load('en_core_web_sm')
  raw_text = 'Hello, world.'
  doc = nlp(raw_text)
  for token in doc:
      print(token.pos_)
  </code></pre>
  
  <p>But I want to do something similar to the following:</p>
  
  <pre><code>import spacy
  nlp = spacy.load('en_core_web_sm')
  tokenized_text = ['Hello',',','world','.']
  doc = nlp(tokenized_text)
  for token in doc:
      print(token.pos_)
  </code></pre>
  
  <p>I know, it doesn't work, but is it possible to do something similar to that ?</p>