The Winning Papers from the World’s Largest Natural Language Processing Conference
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.
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.
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.
Language industry startups Unbabel and Lilt took to the stage at one of Europe’s largest machine learning conferences and explained how they build atop evermore sophisticated AI tech.
How not to fall prey to bogus LSPs, arrests for pirated translations, translation missteps seen around the world, humble admissions from online giants, and the end to the ownership battle for the largest language service providers — these were the hottest stories of 2018.
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.
A lot of Slator’s readers think Europe is lagging behind the US and China in language tech, translation productivity tools are widely seen as over-engineered, M&A-driven consolidation is a net negative, and MT should stay off national security’s radar.
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.
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