Amazon’s third Amazon Research Awards picked 49 out of over 800 submissions and will be awarding research groups up to USD 80,000 each for their projects. Six submissions directly relate to natural language processing or neural machine translation. Continue reading
Facebook is open sourcing its unified deep learning framework PyTorch 1.0, the underlying technology that supports AI and many of its products including Translate. Continue reading
With the ambitious goal of achieving natural language understanding by 2030, research institutions in Europe led by the German Research Center for Artificial Intelligence are pushing for the Human Language Project to become an EUR 1bn EU Flagship Project. 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
China issued a 3-year action plan to boost AI development for implementation across the whole country. It sets out quantified targets for eight commercial applications of AI, including speech recognition and machine translation, which it wants to achieve by 2020. Continue reading
Natural language processing startups and more established players pick up millions of investment as investors’ interest in anything related to AI continues unabated. Continue reading
US government earmarks USD 14m for research into automated translations of low-resource language material for the intelligence community. System will be able to retrieve info, translate, and summarize in English with capacity to translate 750m words daily. Continue reading
Language services and data provider Appen continues to ride the machine learning and artificial intelligence boom, clocking up revenue growth of 34% versus 2016. While shares are up more than 300% since IPO, they are down slightly in 2017. Continue reading
“Google, we promise we are not taking you on,” says the Harvard NLP group as a research project draws Systran’s attention and is co-developed into open-source NMT. Systran expects competitors to quickly build products based on the technology. Continue reading
San Francisco and Portugal-based Unbabel raises USD 5m from Notion Capital and Caixa Capital to build out its heavy on tech, light on humans model. CEO says, despite recent progress, the quality gap between neural machine translation and human translation is still huge. Continue reading
Deploying neural networks for machine translation has drawn a new crop of researchers to test their models on the translation problem. Jason Lee, a PhD from the Swiss Federal Institute of Technology (ETH) has taken an NMT model from word- to character-level. Continue reading
Shares in Australia’s Appen have shot up nearly 500% since the IPO in January 2015 boosting the company’s market capitalization to around USD 220m. Driving the bonanza are the personal digital assistants and big techs hunger for data. Continue reading
Amazon is hiring scientists for its machine learning hub in Italy, while MIT researchers just released a dataset that could help improve your grammar. Meanwhile, court interpreters in the Marianas cry foul, while some in the UK will soon be working for a new MoJ contractor. Continue reading
Google just launched a paid, cloud-based natural language processing service that offers entity recognition, sentiment analysis, and syntax analysis. Exclusive analysis by Expert System CTO Marco Varone, LT-Innovate Chairman Jochen Hummel, and industry analyst Seth Grimes. Continue reading
Italy’s semantic analysis firm Expert System reports EUR 30m in revenues for 2015. CEO discusses how the natural language processing hype helps his company and says machine translation is “the toughest thing you can do.” Continue reading
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