30 - Probabilistic Typology: Deep Generative Models of Vowel Inventories

Paper by Ryan Cotterell and Jason Eisner, presented by Matt. This
paper won the best paper award at ACL 2017. It's also quite outside
the typical focus areas that you see at NLP conferences, trying to
build generative models of vowel vocabularies in languages. That
means we give quite a bit of set up, to try to help someone not
familiar with this area understand what's going on. That makes this
episode quite a bit longer than a typical non-interview episode.
https://www.semanticscholar.org/paper/Probabilistic-Typology-Deep-Generative-Models-of-V-Cotterell-Eisner/6fad97c4fe0cfb92478d8a17a4e6aaa8637d8222