Which machine translation breakthrough in 2016-2017 significantly improved translation quality by better understanding linguistic context?

Machine translation has transformed language services globally. What started as rule-based systems evolved through statistical methods to today's neural networks. This evolution has dramatically impacted how language professionals work, how companies localize content, and how we communicate across language barriers. Test your knowledge about a pivotal development in this technology that changed the landscape of translation services.

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Google's Neural Machine Translation system implementing transformers and attention mechanisms
Microsoft's Statistical Machine Translation 2.0 with contextual language modeling
DeepL's Linguistic Pattern Recognition framework with syntactic parsing
Facebook's Universal Language Translator using bidirectional convolutional networks