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Sorry for the delayed response. I trained word2vec using bytepair tokenized data. In reality, I noticed very little difference in performance using the pretrained vs randomly initialized byte pair embeddings.
How did you pretrain the embeddings, I am confused because they are based on byte pair encoding?
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