This series will provide an introduction to some of the key concepts and techniques around applying BERT to another language, as well as example code implementations (built on PyTorch and huggingface/transformers).

In Part 1, I’ll explain the difference between a “monolingual” model and a “multilingual” model (and why monolingual isn’t just the obvious choice!), and introduce the concept of Cross-Lingual Transfer. I’ll also describe a couple ways in which we can leverage Machine Translation.

I’ve also published a blog post version of this tutorial here: http://mccormickml.com/2020/10/05/multilingual-bert/

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