Facebook Ramps Up Open Source Drive Into Speech Translation
Facebook AI invites developers to improve a speech translation dataset and a open sources a...
#BLEU
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And the Winner Is…ACL 2020 Announces Best Paper Awards
Association for Computational Linguistics names Best Research Papers of 2020 from a field of more...
BLEU Has Measured Machine Translation Quality Since 2002. It’s Fast Becoming Useless.
As machine translation quality improves, precision-based metrics struggle to identify the best systems. Why have...
A Quick Primer on Edit-Distance, a Key Metric in Post-Editing Machine Translation
As the language industry transitions to an operating model where the first draft is mostly...
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...
NVIDIA Engineer on Machine Translation Research’s State-of-the Art and Future Direction
NVIDIA Senior Deep Learning Engineer Chip Huyen details progress on MT challenges, including data requirements,...
Facebook Patents Alternative to ‘Expensive’ BLEU
Facebook has been granted a patent for its machine translation quality evaluation system, which relies...
As Neural Machine Translation’s Core Model Seems Settled, Focus Shifts to Products
At SlatorCon London 2019, Systran CEO Jean Senellart outlined the latest in NMT developments, called...
Google, Microsoft, Baidu Step Up NMT Research in Record August as BLEU Takes Heat
August 2018 became the busiest month ever for neural machine translation research as more papers...
In Human vs. Machine Translation, Compare Documents, Not Sentences
Microsoft’s “human parity” claims drew skepticism from a team of neural machine translation researchers as...