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      "statement": "# Wu and colleagues: Google neural machine translation system\n\nDescribed and evaluated an attention-based deep neural translation system with wordpieces and inference optimizations deployed at production scale.\n\n## Scientific scope\n\nThe GNMT system combines existing and new engineering choices; it is not the invention of neural machine translation or attention.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nYonghui Wu; Mike Schuster; Zhifeng Chen; Quoc V. Le; Mohammad Norouzi; Wolfgang Macherey; Maxim Krikun; Yuan Cao; Qin Gao; Klaus Macherey; Jeff Klingner; Apurva Shah; Melvin Johnson; Xiaobing Liu; Łukasz Kaiser; Stephan Gouws; Yoshikiyo Kato; Taku Kudo; Hideto Kazawa; Keith Stevens; George Kurian; Nishant Patil; Wei Wang; Cliff Young; Jason Smith; Jason Riesa; Alex Rudnick; Oriol Vinyals; Greg Corrado; Macduff Hughes; Jeffrey Dean\n\nComplete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.\n\n\n\n## Original sources\n\n- [Wu and colleagues: Google neural machine translation system — original paper](https://arxiv.org/abs/1609.08144v2)\n- [Wu and colleagues: Google neural machine translation system — official company source](https://research.google/pubs/googles-neural-machine-translation-system-bridging-the-gap-between-human-and-machine-translation/)\n",
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