Which machine learning translation breakthrough in 2016-2017 significantly improved retail website localization by reducing translation errors by over 60% compared to previous systems?

The intersection of linguistics and machine learning has transformed how we approach language translation and understanding. Modern retail platforms leverage sophisticated NLP systems to enhance multilingual customer experiences. This poll tests your knowledge about a significant milestone in machine learning translation technology that revolutionized the retail industry's approach to global markets and customer communication.

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Google's Neural Machine Translation (GNMT) system using sequence-to-sequence learning
Microsoft's BiLingual Evaluation Understudy (BLEU) scoring algorithm
Amazon's Contextual Pattern Recognition (CPR) translation framework
Facebook's Universal Language Translator (ULT) with bidirectional recurrent models