Which AI translation model launch in 2016-2017 represented a paradigm shift by introducing neural machine translation that reduced translation errors by 60% compared to previous systems?

Language translation technology has evolved dramatically over the decades. From rule-based systems to statistical models, the journey has been fascinating. But one particular technological advancement revolutionized how we approach machine translation, making it significantly more accurate and context-aware. This poll tests your knowledge about a pivotal moment in language technology product history that transformed how we communicate across language barriers.

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Google's Neural Machine Translation (GNMT)
Microsoft's Z-code Multilingual Translation Model
Facebook's MBART Translation System
DeepL Translator