title: How to find similar words with FastText?
body: <p>I am playing around with <code>FastText</code>, <a href="https://pypi.python.org/pypi/fasttext" rel="nofollow noreferrer">https://pypi.python.org/pypi/fasttext</a>,which is quite similar to <code>Word2Vec</code>. Since it seems to be a pretty new library with not to many built in functions yet, I was wondering how to extract morphological similar words. </p>
  
  <p>For eg: <code>model.similar_word("dog")</code> -> dogs. But there is no function built-in.</p>
  
  <p>If I type 
  <code>model["dog"]</code> </p>
  
  <p>I only get the vector, that might be used to compare cosine similarity.
  <code>model.cosine_similarity(model["dog"], model["dogs"]])</code>. </p>
  
  <p>Do I have to make some sort of loop and do <code>cosine_similarity</code> on all possible pairs in a text? That would take time ...!!!</p>