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

30 - Probabilistic Typology: Deep Generative Models of Vowel Inventories

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Welcome to the NLP highlights podcast, where we invite researchers to talk about their work in various areas in natural language processing. All views expressed belong to the hosts/guests, and do not represent their employers.

30 - Probabilistic Typology: Deep Generative Models of Vowel Inventories

NLP Highlights