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?
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.
August 2018 became the busiest month ever for neural machine translation research as more papers call for improved evaluation methods and big tech companies step up the number of submissions.
TransPerfect buys San Francisco-based TranslateNow in first acquisition since legal battle ended. Sales up 21% to USD 275m in first five months of 2018 as execs who had left in protest over Lionbridge bid begin to return.
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.
While consumers want earphones that can translate, according to a recent poll of Ericsson Consumer Lab, all and any device that was launched in 2017 was roundly panned by critics.
Salesforce launches its own neural machine translation model at Dreamforce conference in San Francisco. The model has not been productized yet but AI unit head hints at deployment in 2018.
The pace of translation product launches targeting the mass consumer market is accelerating in Asia. Earpieces, apps, and handheld devices are sold across potentially vast markets like China, Japan, and Korea.
CNBC reports that Amazon is looking to offer the translation technology it built for internal use to third parties. The move would be a direct challenge to Google Translate and the many other MT offerings by big tech companies.
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