EU-Funded Language Technology Platform Adds Tools, Expands Language Coverage
EU-funded twin projects on language equality aim to close gap between high- and low-resource languages; houses growing language technology resources and corpora.
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EU-funded twin projects on language equality aim to close gap between high- and low-resource languages; houses growing language technology resources and corpora.
Google is concerned it might be mistakenly assuming genders in machine translation; initial effort to reduce gender bias only the first step in dealing with similar challenges in neural machine translation.
What’s behind the arcane research paper that Baidu helped spin into a machine translation breakthrough celebrated across the media?
August 2018 became the busiest month ever for neural machine translation research as more papers call for improved evaluation methods and big tech companies step up the number of submissions.
Microsoft’s “human parity” claims drew skepticism from a team of neural machine translation researchers as they found that much of the research and industry community is looking at the problem from the wrong angle.
Professor Andy Way, Deputy Director of ADAPT Centre for Digital Content Technology, unpacks quality expectations for machine translation as the language industry increasingly favors neural MT as the new standard.
European researchers train neural machine translation on 100 million words to translate Lord of the Flies, 1984, Ulysses, and nine other works of literature from English into Catalan. Between one third and one sixth of the sentences “would not need any correction”.
Europe continues to ramp up research in language technology. The number of papers published on machine translation in an academic journal has reached the highest number in more than a decade.
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