Does Google’s BERT Matter in Machine Translation?
Less than one year after Google open-sourced its much-discussed language model BERT, experts weigh in on its potential uses in neural machine translation.
Less than one year after Google open-sourced its much-discussed language model BERT, experts weigh in on its potential uses in neural machine translation.
Neural machine translation experts weigh in on Google’s open sourcing of Lingvo, a sequence modeling framework built on TensorFlow.
As TransPerfect posts USD 705m in full-year revenues for 2018, CEO Phil Shawe comments on the company’s record setting 2018, his M&A outlook for 2019, neural machine translation, and why Amazon and Google don’t really worry him.
Slator releases the Neural Machine Translation Report 2018. The report delves into the business case for neural machine translation, and answers the most pertinent questions surrounding the new technology with insights and information from 17 industry and academia experts to provide a clearer picture of NMT in 2018.
Google’s live production deployment of neural machine translation sets a milestone for language translation. A dozen of the world’s leading MT experts provide perspective on the roll-out and Google’s Mike Schuster responds to charges of overstating quality improvements.
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