Written by Alexander Raginsky Wit.ai, the Y Combinator-backed startup that enables developers to add Siri-like language processing to their apps, has been acquired by Facebook. According to a blog post from the startup, Wit.ai is joining the social network, though its “platform will remain open and become entirely free for everyone,” it says. Wit.ai’s API lets developers add voice
Written by Alexander Raginsky Automated Insights — the Durham, North Carolina-based startup backed by the Associated Press, Samsung and Steve Case that has built technology to automatically take raw data and translate it into narratives that look like they’ve been written by a human — has been acquired by the $14 billion private equity firm Vista Equity Partners and
Written by Alexander Raginsky While being passionate about all the ways the language finds its way in technology – as the new user interface input via speech recognition, or with natural language understanding, I have special feelings about machine translation being my first step to linguistic technologies. Recently I have read about an excellent and innovative case for machine
Written by Alexander Raginsky 11th VIPS Advanced School on Computer Vision, Pattern Recognition, and Image Processing, Dipartimento di Informatica, Universit? di Verona, Verona (Italy) 19-21 May 2014
Written by Alexander Raginsky Imagine your company has just launched a new product: the Acme iSolution. You’ve got an ad campaign under way and you want to know how people are reacting. That would make you a good candidate for sentiment analysis, a set of technologies that can tell you whether discussions on social networks are generally positive or
Written by Alexander Raginsky 
Machine translation is one of the most known and demanded NLP applications that thousands of millions of people use on a daily basis. At the same time, the voice of criticism by professional translators is clearly to hear. We asked several translators with MT experience about limitations of MT and in which areas MT providers
Written by Alexander Raginsky 
In this post we continue presenting the main groups of factors that influence any young NLP company by example of a Machine Translation startup in Europe. Here, we will cover the following areas: Technology&Research, Data, Evaluation, Resources and Translators & Post-editors. Please refer to the previous post for the rest of the discussion. .
Written by Alexander Raginsky 
This spring the University of Toronto ran an online course on statistics and statistical calculus at the Coursea.org platform. We are delighted to present a review of this course written by Viktoria Denisova.
Written by Alexander Raginsky 
If you are thinking of starting your own business in the NLP area (and some of you do think about it, for sure), you might be interested in look at the analysis done by bmmt: one of successful machine translation startups. Read a series of posts describing several groups of factors that have impact on
Written by Alexander Raginsky As the world’s leading AI & NLP job-board, we hope you get what you need out of your advertising campaign on our site. However, we know that from time-to-time, the kind of people you are looking for are in such short supply, or are so difficult to find, that advertising alone doesn’t give you the
