Which AI translation product innovation first introduced the 'Transformer' architecture that revolutionized machine translation by enabling better understanding of contextual relationships between words?

AI-powered translation tools have dramatically transformed the language industry in recent years, with major innovations in how they process and understand human language. Different companies have taken unique approaches to solving the challenges of machine translation. This poll tests your knowledge about a groundbreaking innovation that changed how translation products handle contextual understanding across languages.

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Google's Neural Machine Translation (GNMT) with attention mechanisms (2016)
Google's 'Transformer' model introduced in the paper 'Attention is All You Need' (2017)
DeepL's hybrid neural network architecture with interlinear representations (2017)
Microsoft's Z-code multilingual translation model (2019)