Hacker News new | ask | show | jobs
by rajansaini 1658 days ago
You should check out the VOLT paper, I think it would work well. It's a new technique for splitting up a vocabulary into subwords while minimizing entropy. These subwords could then be mixed and matched, maybe by a neural model, for better results.
1 comments

Thank you for the reference. To save others a search, I believe this is the paper:

Vocabulary Learning via Optimal Transport for Neural Machine Translation - https://arxiv.org/abs/2012.15671

https://jingjing-nlp.github.io/volt-blog/

https://github.com/Jingjing-NLP/VOLT