Focusing on BLEU Can Bias Machine Translation Output
Though beam search can boost BLEU scores, it can also lead to high rates of misgendered pronouns, even when translating between two gendered languages. Continue reading
Tag: Carnegie Mellon University
TWB, Big Tech, Academia Take on Covid-19 Language Challenge
Collaboration between Amazon, Facebook, Google, Microsoft, etc., and Translators Without Borders aims to fight Covid-19 infodemic through machine translation research. Continue reading
How to Fix the 5 Flaws in Evaluating Machine Translation
Group of leading researchers finds that the way machine translation quality is evaluated by humans is broken. Group issues five recommendations on how to fix it. Continue reading
Does Google’s BERT Matter in Machine Translation?
Less than one year after Google open-sourced its much-discussed language model BERT, experts weigh in on its potential uses in neural machine translation. Continue reading
What’s so Massive About Google’s Massively Multilingual Neural Machine Translation?
New research by Google AI explores multilingual NMT on an unprecedented scale. Good for low-resource languages, less so for the rest, results show. Continue reading
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Slator 2019 Language Industry Market Report
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. Continue reading
Alon Lavie Joins Unbabel — He’s Not the Only Exec Who Recently Left Amazon’s Machine Translation Group
Unbabel hires Amazon’s former Machine Translation Group Manager, Alon Lavie, as VP of Language Technologies; Lavie’s former business partner leaves Amazon for Uber. Continue reading
Simultaneous Interpreters May Soon Get Real-Time Help Just When They Need It
US researchers outline how technology could be used to support the work of simultaneous interpreters. They propose analyzing the linguist’s performance on the fly via real-time quality feedback... Continue reading
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