#Twitter

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Working Around Machine Translation’s Need for Large-Scale Training Data

Unlike some fields in machine learning, machine translation still requires large sets of training data....

Reader Polls: The Language Industry’s Preferred Social Network

Top social media choice of LSPs and freelance linguists, Internet democracy or omnichannel omnipresence, and...

Facebook, Amazon, Twitter Research ‘Blind Spot’ in Modern Machine Translation

New paper by Facebook, Amazon, Twitter, and University of Melbourne examines vulnerability of systems using...

Slator Language Industry Buyer Tracker November 2020

In the November 2020 edition of our buyer tracker, we provide SlatorPro subscribers with a...

Here Are Some of Most Popular Language Industry Tweets in the Time of Corona

Our glimpse into the Twittersphere gives an overview on the types of tweets about the...

Reader Polls: Linguist Strike, Scams, Freelancers vs. Employees, Preferred Social Network

Preferred social networks for industry insights? Increase in translator scams? Industry reliance on freelancing versus...

‘Translation Agencies Are Cancelling My Contracts’ — California’s AB5 Bill Starts to Bite

Days before California’s gig worker bill takes effect, journalists and photographers sue state. American Translators...

Researchers Propose New Way to Detect Machine Translation — Maybe Google Could Use It

Google has admitted machine translated content is a challenge to ranking algorithms. Researchers at the...

Appen Spends Big on Data Annotation Platform Figure Eight in Preemptive Move

Appen pays up to USD 300m for automated data annotation platform Figure Eight, preempting an...

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