Replacing current automatic quality scores is essential to advance the use and performance of NMT systems. A new, human quality index can dramatically improve NMT performance and adoption. Continue reading
neural machine translation
Tencent’s attempt to showcase their latest AI voice recognition and real-time translation engines backfired. Netizens screenshot and circulated embarrassing mistakes, sparking off an online debate on when and what jobs will be replaced by AI. Continue reading
Amazon comes out guns blazing in general launch of Amazon Translate and enlists Lionbridge as showcase customer. Pricing in line with other tech giants Google and Microsoft while quality still likely trails DeepL. Continue reading
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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. Continue reading
Lingo24 saw steady revenue growth in 2017 while losses narrowed. The company expects its proprietary technology will help it to outcompete larger rivals and return it to profitability in 2018. Continue reading
Slator releases the Neural Machine Translation Report 2018. The report delves into the business case for neural machine translation, and answers the most pertinent questions surrounding the new technology with insights and information from 17 industry and academia experts to provide a clearer picture of NMT in 2018. Continue reading
Collaboration with the German Research Center for AI (DFKI) underpins the new Neural Machine Translation (NMT) solution, which will initially target the Medical Device sector Continue reading
Facebook is inviting the academic community to submit research proposals for a USD 20,000 to USD 40,000, one-year research grant starting June 2018. Facebook research will award up to four research proposals and is open to further research after evaluation. Continue reading
Microsoft did not pull any punches announcing their research findings on new neural machine translation systems that have achieved “human parity” in Chinese to English news translation according to a new human evaluation method they developed. Continue reading
As neural machine translation algorithms gain increasing acceptance for enterprise translation services, Stepes’ agile and scalable machine translation post editing (MTPE) solutions will be in hot demand. Continue reading
Facebook’s AI Research team delves into the neural machine translation black box and figures out a couple of ways to mitigate performance degradation due to intrinsic and extrinsic “uncertainties.” Continue reading
As long as machine translation is fluent, users are more likely to trust its output, regardless if the translation is adequate. This is the implication of a recent study by researchers from the University of Maryland. Continue reading
Making do with less training data, infusing models with more document-level context, and increasing efficiency and reducing power consumption have been high on the agenda of neural machine translation researchers over recent months. Continue reading
Teresa Marshall, Sr. Director of Localization and Globalization at Salesforce, explains how the CRM and cloud computing giant employs language strategies and partnerships for localization, and comments on their recent exploits in neural machine translation and its implications. Continue reading
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”. Continue reading
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