title: Where do word vectors get computed?
body: <p>I deal with terms and acronyms, so I am equating a word vector of a term to its acronym's vector. For instance, the word vector of MPH will be the same as Miles Per Hour. However, I do this step as a custom component in the pipeline, specifically before the tagger. I do not see any changes in the assigned vector of an acronym. Am I missing something here?</p>
  <pre><code>matches = self.matcher(doc)
  
  for match_id, start, end in matches:
      span = doc[start:end]
  
      print(&quot;matched_span: &quot;, span.text)
      #Get string representation
      term = self.abbr_term_dict[span.text]
      term_doc = nlp(term)
  
      # nlp.vocab.set_vector(&quot;MPH&quot;, nlp('Miles Per hour').vector)
      # setting the vecor for acronym
      nlp.vocab.set_vector(span.text, term_doc.vector)
  </code></pre>