Here Are the Top 10 Most Influential Research Papers on Neural Machine Translation
The most-cited neural machine translation research papers show how NMT came to dominate the field — and how academia and industry’s interests have evolved.
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Google Fixes Gender Bias in Google Translate (Again)
Google Translate unveils a new approach to solving gender bias in machine translation, after its “99% reliable” 2018 model encountered problems and failed to scale.
What’s so Massive About Google’s Massively Multilingual Neural Machine Translation?
New research by Google AI explores multilingual NMT on an unprecedented scale. Good for low-resource languages, less so for the rest, results show.
Behold, the Translatotron! Google’s Latest Move in Speech Translation
Google researchers approach speech-to-speech translation a little differently in a proof-of-concept that completely takes away reference text, but underperforms compared to existing models.
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