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. Continue reading
Tag: Google
New: Slator Language Industry Buyer Tracker October 2019
Introducing the Slator Language Industry Buyer Tracker. This new monthly series features key buy-side people moves and helps inform your hiring, strategy, and business development decisions. Continue reading
Slator Job Index Jumps Nearly 1.5 Points in October 2019
The Slator Language Industry Job Index (LIJI), which tracks how employment activity trends across the global language industry, jumps 1.5 points in October 2019. Continue reading
Google Resumes Human Transcription of Assistant Audio Content
Google touts new data privacy protections for its transcription programs, which were suspended after a reviewer leaked confidential Dutch audio in July 2019. Continue reading
Google to Shelve Translator Toolkit After Decade of Failing to Gain Traction
Mixed reactions from linguists and industry experts as search giant shelves its in-house translation productivity tool Translator Toolkit, which failed to gain real traction since launching in 2009. Continue reading
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German LSP lengoo Raises EUR 6.0m Series A from Redalpine, Angel Investors
Germany-based language service provider lengoo secures EUR 6.0m in Series A funding, targets scale with NMT and post-editing for mature enterprise customers. Continue reading
KPMG Report Examines India’s Online Language and Content Preferences
Failing to distinguish the language preferences of India’s 637 million Internet users would mean missing the opportunity to offer a tailored experience, KPMG report says. Continue reading
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
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
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Slator 2019 Language Industry Market Report
Slator’s inaugural comprehensive language industry market report. It examines total market size, the 10 main end-buyer industries, competitive landscape, productivity tech, NMT and much more. Continue reading
Machine Translation Largely MIA at Google I/O and Microsoft Build 2019
Google I/O and Microsoft Build 2019 were short on big language tech reveals, although relevant announcements and previews were sprinkled throughout both events. Continue reading
Survey Examines Machine Translation Post-Editing Among Freelancers and LSPs
The results of two post-editing of machine translation surveys shine a light on the opinions of practitioners (post-editors and LSPs) on post-editing. Continue reading
How Language Access, or the Lack of It, Affects What Indians Do Online
Where, how, and when do Indian consumers access services or products in their own language? What are the business drivers that hinder or make this possible? Continue reading
Behold, the Translatotron! Google’s Latest Move in Speech Translation
Google researchers approach speech-to-speech translation a little differently in a proof-of-concept that completely takes away reference text, but underperforms compared to existing models. Continue reading
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