Fixing Gender Bias in Google Translate (Bias in Neural Machine Translation)

That's right, Google Translate is biased. When it comes to assigning gender from a gender-neutral language like Hungarian, it defaults to the stereotypical translations. But why does it do this? And how can we fix this?

We're diving into a LOT of interesting Bias in Neural Machine Translation research, from how we evaluate dataset bias to the solution I think is the most promising way of debiasing our large language models!

Transcript on my blog: https://mukulrathi.com/google-translate-is-biased/
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Links:
What constitutes data bias?: https://www.youtube.com/watch?v=MgZFSny8GjI&ab_channel=MukulRathi

Google Translate Bias: https://arxiv.org/abs/1809.02208
Google AI blog post: https://ai.googleblog.com/2020/04/a-scalable-approach-to-reducing-gender.html
Intellectual Debt / ML Systems Design by Neil Lawrence: http://inverseprobability.com/talks/notes/deploying-machine-learning-systems-intellectual-debt-and-auto-ai.html
WinoMT paper: https://www.aclweb.org/anthology/P19-1164.pdf
Getting Gender Right in Neural Machine Translation: https://arxiv.org/abs/1909.05088

Domain Adaptation for Gender Debiasing: https://arxiv.org/abs/2004.04498
Neural Machine Translation Doesn’t Translate Gender Coreference Right
Unless You Make It: https://arxiv.org/pdf/2010.05332.pdf
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Timestamps:

00:00 Introduction
00:30 Overview
00:59 What causes bias?
03:09 Pipelines aren't the solution
05:33 Evaluating Bias (WinoMT)
08:04 Fixing the data
09:56 Domain Adaptation for Gender Debiasing

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Видео Fixing Gender Bias in Google Translate (Bias in Neural Machine Translation) канала Mukul Rathi