What’s so Massive About Google’s Massively Multilingual Neural Machine Translation?
New research by Google AI explores multilingual NMT on an unprecedented scale. Good for low-resource languages, less so for the rest, results show. Continue reading
Tag: neural machine translation
‘Incredibly Vibrant’ — VCs Excited About Natural Language Processing in 2019
Venture capitalists see opportunity as startups begin to apply breakthroughs in transfer learning and new language models, such as BERT, ELMo, OpenAI's GPT-2, and ULMFiT. Continue reading
Reader Polls: MT and Subject Matter Expertise, Future CAT, Outperforming LSPs
Is subject matter expertise gaining at the expense of source language proficiency? Has the future CAT yet to be invented? Will LSPs continue to delight investors? Continue reading
Yes, Post-Editese Is Real, Study Finds
Post-editing machine translation versus unaided human translation from scratch — new research reveals how the output differs. Continue reading
New Language Industry IPO as Korea’s Flitto Prepares for Scalability-Based Listing
First, Appen. Now, Flitto. Language data startup Flitto, which is about to list on Korean electronic trading platform Kosdaq, has attracted high, early demand for shares. Continue reading
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SYSTRAN Partners with Taus to Provide the SYSTRAN Marketplace Community with Gold Data to Train Domain-specific Neural Models
SYSTRAN and TAUS have agreed to collaborate on creating a solid supply of data and models for trainers and developers of machine translation engines. Continue reading
SDL Gearing Up for General Release of AI-Packed SDL Language Cloud
Set to go live in September 2019, SDL Language Cloud combines productivity, workbench, and PM features in an end-to-end solution for continuous localization. Continue reading
Third Revolution in Language Is Upon Us and Will Impact Translators, Interpreters — EU
EU Institutions publish paper on language technologies and AI, as most EU translation departments now use NMT and provide machine translated output to their linguists. Continue reading
MT Post-Editing Boosts Swiss Bank’s Translation Productivity by Up to 60%, Study Finds
Study examines impact of machine translation post-editing on productivity of in-house translators at Switzerland’s Migros Bank. Continue reading
Lilt Hires Lionbridge Veteran Roberto Sastre in Bid to Expand Enterprise Business
San Francisco-based Lilt continues to execute on its new strategy of selling services into the enterprise, hires Dublin-based Lionbridge veteran Roberto Sastre. Continue reading
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Reader Polls: Post-Editing, Interactive Prediction, Translation Devices, and M&A
Slator’s readers give their take on translation devices, per-hour word output for post-edited MT, post-editing versus interactive prediction, and M&A activity in 2019. Continue reading
As Neural Machine Translation’s Core Model Seems Settled, Focus Shifts to Products
At SlatorCon London 2019, Systran CEO Jean Senellart outlined the latest in NMT developments, called out some myths from vendors, and pointed out what’s missing from the industry. Continue reading
Highlights from Sold Out SlatorCon London 2019 — Photos, Videos, Themes
Over 100 participants gathered at the Bulgari Hotel in Central London to discuss what’s driving the language industry from AI and automation to emerging buyers and much more. Continue reading
Researchers Run User Study on MT Post-Editing’s Most Promising Alternative
Researchers led by machine translation pioneer Philipp Koehn examine how interactive translation prediction compares to MT post-editing when powered by neural instead of statistical MT. Continue reading
Inside Translation, Localization, and NLP on GitHub, the World’s #1 Code Sharing Site
Over two dozen charts and tables and high-level visualizations as well as analysis of GitHub code repositories relevant to the language industry. Continue reading
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