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. The solution? Creating more data when none (or not enough) exists.
Reader Polls: The Language Industry’s Preferred Social Network
Top social media choice of LSPs and freelance linguists, Internet democracy or omnichannel omnipresence, and language access in healthcare — Slator readers weigh in.
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 back translation to attacks on monolingual training data.
Slator Language Industry Buyer Tracker November 2020
In the November 2020 edition of our buyer tracker, we provide SlatorPro subscribers with a selection of some of the most important changes among buy-side decision-makers.
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 language industry that are popular during lockdown.
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 in-house employment? Support for Dutch linguists on strike?
‘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 Association doubles down in fight to exempt translators and interpreters.
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 University of Tokyo may have found a solution: back-translation.
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 emerging threat to its crowd-based business model.
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