Language Industry (Artificial) Intelligence — Slator Answers
Berlin-based startup Lengoo raises USD 20m Series B on thesis that custom machine translation combined with human-in-the-loop service can outcompete incumbent language service providers.
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.
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.
Characterizing post-editors based on their keystrokes, mouse activity, and other editing actions can help predict speed and, eventually, quality, says a new paper by Unbabel researchers.
Post-editing machine translation versus unaided human translation from scratch — new research reveals how the output differs.
Machine translation (MT) trumps human translation when it comes to real-time and dynamic content at large scale, and SDL’s new report highlights the five most common use cases driving enterprise-wide adoption of MT.
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