Fernanda Viégas

Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation

2017 · Transactions of the Association for Computational Linguistics

We propose a simple solution to use a single Neural Machine Translation (NMT) model to translate between multiple languages. Our solution requires no changes to the model architecture from a standard NMT system but instead …

Just Say No to Single Embeddings: Why Your AI Needs Multiple Perspectives

2019 · arXiv (Cornell University)

Note: This is a work in progress document We present empirical evidence that conversations exhibit consistent geometric signatures when projected into different embedding spaces, alongside surprising variability in local feature detection. Analyzing 229 multi-agent AI …

Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation

2016 · arXiv (Cornell University)

We propose a simple solution to use a single Neural Machine Translation (NMT) model to translate between multiple languages. Our solution requires no change in the model architecture from our base system but instead introduces …