title: Subword vectors to a word vector tokenized by Sentencepiece
body: <p>There are some embedding models that have used the <strong>Sentencepiece</strong> model for tokenization. So they give subword vectors for unknown words that are not in the vocabulary. But I want to get word vector for each word like Word2vec, fastText.
  <strong>Should I average subword vectors to represent a word vector?</strong> </p>