#University of Edinburgh

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Here’s a ‘Brand-New’ Massive Multilingual Dataset for Machine Translation

Researchers harness web crawls from Internet Archive and CommonCrawl to release new language resources aimed...

The Fastest Machine Translation Framework Marian Boasts New and Impressive Features

Experts from Tilde, University of Edinburg, and Unbabel have improved the very popular automated neural...

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Blazing-Fast Machine Translation With Kenneth Heafield

University of Edinburgh’s Kenneth Heafield joins the Pod to discuss translation efficiency, quality research, and...

Here’s Europe’s Latest Attempt at End-to-End Speech Translation

European Live Translator (ELITR) takes speech-to-speech translation one step further, backed by the academe, private...

Here Are the Top 10 Most Influential Research Papers on Neural Machine Translation

The most-cited neural machine translation research papers show how NMT came to dominate the field...

Facebook Patents Alternative to ‘Expensive’ BLEU

Facebook has been granted a patent for its machine translation quality evaluation system, which relies...

Slator 2019 Language Industry Market Report

Slator’s inaugural comprehensive language industry market report. It examines total market size, the 10 main...

Researchers Run User Study on MT Post-Editing’s Most Promising Alternative

Researchers led by machine translation pioneer Philipp Koehn examine how interactive translation prediction compares to...

Google, Facebook, Amazon: Neural Machine Translation Just Had Its Busiest Month Ever

Research into neural machine translation in 2018 is exploding, with April 2018 being the busiest...

Business and Academia Join Forces to Launch Next-Gen Machine Translation

In 2015, four leading European institutions and companies set out to solve machine translation’s four...

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