After sampling over a hundred movies and series, we found evidence of machine dubbing at one of the world’s largest video streamers. AI dubbing reportedly led to a revenue boost.
How was December business for LSPs? What are the most-used MT services? Should the EU rethink its translation RFPs and tests? What’s the language industry outlook for 2020?
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.
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.
In-depth report on localization for the global Travel and Retail sector. Analysis of the competitive landscape, technologies, and actionable insights from major buyers and users.
An October 2019 paper by the Australian Strategic Policy Institute examines how China can employ machine translation tools used by consumers to collect data on users outside the country.
Baidu launches API for speech-to-speech translation based on technology outlined in late-2018 research paper, which was criticized at the time for overpromising.
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.
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.
Asian languages present unique challenges for NMT researchers, and a key to unlock emerging economies for providers. How far along is NMT for Asian languages?
Long the domain of academia, fundamental research in machine translation has become a battleground for big tech and niche providers.
Through five case studies and nearly 30 commentaries from the buy (enterprise, government, and more)- and sell-side (LSPs), this report shines a light on the sentiment of industry practitioners towards current-state NMT technology.
The US government is asking for public comment to determine whether a range of “emerging technologies,” including machine translation, are essential to national security and should be subject to export controls.
As AI is booming, the world’s largest natural language processing conference doubled in size this year and attracted 2,500 researchers. Global tech companies came looking for fresh talent. And research teams from across the globe battled it out on shared machine translation tasks.
What’s behind the arcane research paper that Baidu helped spin into a machine translation breakthrough celebrated across the media?
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