Sony Adds New Languages to Speech Translation Systems Without Retraining
Sony and Carnegie Mellon University researchers show how to expand language coverage in speech translation...
#Carnegie Mellon University
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Is Google’s Gemini Good at Machine Translation?
Carnegie Mellon University and BerriAI researchers test Google's Gemini translation capabilities and suggest that Gemini...
Research on Speech-to-Speech Translation is Booming
In just three months, universities and tech companies released over two dozen papers on speech-to-speech...
Focusing on BLEU Can Bias Machine Translation Output
Though beam search can boost BLEU scores, it can also lead to high rates of...
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...
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...
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...
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...
Slator 2019 Language Industry Market Report
Slator’s inaugural comprehensive language industry market report. It examines total market size, the 10 main...
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;...