At SlatorCon Amsterdam 2019, One Hour Translation’s Yaron Kaufman shared his strategy for showing customers why now is the time to adopt machine translation. Continue reading
Third monthly edition of the Slator Buyer Tracker featuring some of the most important changes happening among buy-side decision-makers. Continue reading
The world’s largest NLP conference, EMNLP, announces the winners of the 2019 awards for Best Paper, Best Paper Runner-Up, Best Demo Paper and Best Resource Paper. Continue reading
Four college students harnessed recent Google Cloud releases to build a translation app that works offline and makes forms accessible to users with disabilities. Continue reading
Google has admitted machine translated content is a challenge to ranking algorithms. Researchers at the University of Tokyo may have found a solution: back-translation. Continue reading
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
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
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 touts new data privacy protections for its transcription programs, which were suspended after a reviewer leaked confidential Dutch audio in July 2019. Continue reading
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
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
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
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
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
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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