For Users, Fluency Trumps Adequacy in Machine Translation, Study Finds
As long as machine translation is fluent, users are more likely to trust its output,...
#neural machine translation
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Here’s What Machine Translation Researchers Are Geeking Out On
Making do with less training data, infusing models with more document-level context, and increasing efficiency...
Salesforce Localization Chief on NMT, Skilled Linguists, and What Vendors and Clients Tend to Forget
Teresa Marshall, Sr. Director of Localization and Globalization at Salesforce, explains how the CRM and...
Machine Translates Literature and About 25% Was Flawless, Research Claims
European researchers train neural machine translation on 100 million words to translate Lord of the...
Reader Polls: Amazon, 2018 Language Industry Jobs and Market Outlook
In Slator’s December 2017 reader polls, we take a look back at 2017, look forward...
Why Translators Should Start Thinking About How Much Their Hour Is Worth
Translators may soon encounter more math beyond word counts in their work, with machine technology,...
CEO Hernandez on how SDL Is Preparing for the Language Industry’s ‘New Normal’
SDL CEO sees a future where the language services supply chain will become increasingly complex...
Slator’s Most Popular Language Industry Stories of 2017
Massive privacy breach at Translate.com, senior managers leaving TransPerfect in droves, RWS buying Moravia, Facebook...
Amazon Pits Neural Machine Translation Framework Against Google, Facebook, Others
Though Amazon announced its open-source, sequence-to-sequence machine learning framework Sockeye would be available to all...
3 Reasons Why Neural Machine Translation is a Breakthrough
PhD Candidate and TextShuttle CTO Samuel Läubli presented a compelling case for neural machine translation...
At SlatorCon Zurich, Leaders See Language Industry at Critical Juncture
Broad agreement among language industry leaders at SlatorCon Zurich that industry is at a turning...