Michal Antczak, Head of Localization Technology at PayPal, urges SlatorCon Amsterdam 2019 attendees to think beyond standard pitches and customize solutions for end users. Continue reading
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
Acrolinx Founder Andrew Bredenkamp walked SlatorCon Amsterdam 2019 attendees through AI’s current challenges and his predictions for the next three years. Continue reading
Key highlights and insights from SlatorCon Amsterdam 2019 including video interview, photos, and speaker presentations. Continue reading
LSPs moving toward hourly rates for linguists? Edit distance a viable metric long-term? Are regulations important to translation demand? Will Rev recover from bad press over transcriptionist pay cuts? Continue reading
Straker Translations holds investor call to announce first-half 2020 results; eyes more acquisitions and strikes partnership with AppTek to expand media localization offering. Continue reading
MT and speech recognition company AppTek expands natural language understanding (NLU) capabilities with acquisition of speech technology provider Ignite-Tek. Continue reading
As the language industry becomes more and more competitive, what are universities doing to ensure that their translation students are ready to enter the marketplace? 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
Should ATA decouple certification from membership? How hard is corporate terminology? Is MT well integrated into translation productivity tools? Should institutions move to RSI? Continue reading
As the language industry transitions to an operating model where the first draft is mostly generated by machines, many are looking for ways to quantify linguists' value-add. Edit-distance can help. 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
UN asks vendors to pitch solutions for remote interpreting, neural machine translation, speech-to-text, etc. to secure one of 25 spots at January 2020 conferencing tech fair in Geneva. 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
As global content production becomes more complex, Smartling CEO Jack Welde recommends tech integration, decisions backed by data, and an appreciation for human translators. Continue reading
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