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
Why statistical machine translation has maxed out its potential and why even a building full of translators will not do for the world’s biggest social network; highlights of Alan Packer’s presentation at the EmTech Digital conference in San Francisco. Continue reading
When important news falls through the cracks, Slator is there to catch it: The pace of acquisitions in natural language processing accelerates, iPhone translations are good enough for a US court, and thebigword takes the baton from CapitaTI in UK Ministry of Justice contract. Continue reading
Profile of language technology raised as European Commission Vice President Andrus Ansip calls overcoming language barriers vital for building Europe’s Digital Single Market. Statement marks milestone for lobbying efforts by advocacy group LT-Innovate. Continue reading
Google’s SyntaxNet release is good news for app developers. But what does it mean for machine translation vendors and language service providers? We speak to the experts and to Google on what they have to say about this latest bit of news out of the search engine giant. Continue reading
Another piece of language technology moves across the Atlantic as US-based VirtualWorks acquires Germany’s Language Tools in a USD 6m cash and stock transaction. Tech to be deployed in building out enterprise search. Continue reading
The software used by 500 million people each month, which causes anxiety among linguists and has capped the potentially explosive growth of language services providers, enters its second decade. Time to take stock. Continue reading
Natural language processing, social and media analysis, text analytics, artificial intelligence all attracted significant funding in 2015, with the United States and Europe leading the way. Continue reading
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