43260377
submission
expectlabs writes:
When you hear a language that you don’t speak, it usually sounds like it’s speeding by at an incomprehensible rate. Researchers from the Université de Lyon decided to find out once and for all why certain languages sound so much faster than others. For the study, 59 native speakers of English, French, German, Italian, Japanese, Mandarin, Spanish, and Vietnamese, were instructed to read the following passage out loud in each of their native languages:
43189631
submission
expectlabs writes:
MindMeld heightened our State of the Union experience last night by making the President’s speech more productive and interactive. With the help of our app, we were able to fact-check in real-time, and have a more thorough understanding of what the President was talking about. To learn how you can get your hands on MindMeld, click here.
43155333
submission
expectlabs writes:
Twitter now has the power to unearth both raw numbers and insights into our language behavior. The map above reveals regional language variations based on how we tweet about our beloved soft drinks. Edwin Chen, a data scientist at Twitter, used the site’s geo-tagging feature to search for tweets that contained the words, “coke,” “soda,” or “pop,” when users were talking about their drinks. Chen applied NLP technology into his analysis to ensure that the tweets were in fact soft drink related, and removed the tweets that were referring to the Coke brand. According to Chen’s blog, he then grouped the tweets that were within a 0.333 latitude/longitude radius, calculated the term distribution, and colored each group with the soft drink term that was furtherest away from the mean. Each point is sized according to the number of tweets in the group.
43121911
submission
expectlabs writes:
We discovered this fascinating infographic on gender differences that emerge in the frequency and types of words we speak. According to this graph, women incorporate more positive emotions and filler words into their speech while men use more anger and swear words. Do you think this linguistic behavior is accurate? What other sections of the graph reveal insights into the gender differences found in our speech patterns?
43046325
submission
expectlabs writes:
We were featured on the February 6th episode of the Glenn Beck program about the ethical dilemmas posed by new technologies. Take a look at the clip and let us know what you think!
43046059
submission
expectlabs writes:
According to a recent Harvard/Google Study about the English lexicon, we have approximately 1,022,000 English words at our disposal. Despite this abundance, at times we lack the ability to convey every single emotion, concept, or situation in our lives. Pei-Ying Lin is a design student at the Royal College of Art, who mapped the relationships between English and non-English words that describe nuanced feelings. Lin used a linguistics model called W.Gerrod Parrott’s Emotion Classification, to anchor the map with five basic emotions along with related descriptive words. Lin then strategically placed the “untranslatable” words between the anchored emotions to help English speakers better comprehend their precise meanings.
42945647
submission
expectlabs writes:
Popular Science let us in on some of their favorite gadgets, including our own MindMeld. Take a look at some truly amazing products on their website, or see it for yourself and pick up a copy of their February issue, on newsstands now.
42945235
submission
expectlabs writes:
This year’s SXSW Interactive Accelerator finalists have just been announced — and Expect Labs made it as a finalist! Every year, over 200,000 people flock to Austin for a 10-day music, film, and technology festival called by South by Southwest, that aims to discover the most forward-thinking inventions and technologies.
42945117
submission
expectlabs writes:
Expect Labs, a San Francisco startup that is developing a platform to power a new generation of intelligent digital assistants, today announced a partnership with Factual, Inc. Expect Labs' technology platform, the Anticipatory Computing Engine, is the first commercial solution designed to analyze and understand conversations in real-time and proactively find related information. Through the partnership with Factual, the knowledge base of Expect Labs' Anticipatory Computing Engine will further expand to include information about millions of local businesses, venues, and points of interest.
