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Biometric Tipping Point: USAA Deploys Face, Voice Recognition

Biometric Tipping Point: USAA Deploys Face, Voice Recognition | Language Technology | Scoop.it
The San Antonio financial services provider says 101,000 members have already logged into mobile banking with a spoken phrase or a selfie. It may be a sign that after 50 years, biometric authentication is finally hitting the mainstream.
Natural Language Careers's insight:

I expect to see some movement in the voice biometrics field this year.

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Baidu Announces Breakthrough In Speech Recognition, Claiming To Top Google And Apple

Baidu Announces Breakthrough In Speech Recognition, Claiming To Top Google And Apple | Language Technology | Scoop.it
Armed with new computer systems that can crunch massive amounts of data more quickly, Baidu has built a new "deep learning" speech recognition system that it says works better than current systems that power Google, Apple, Microsoft, and others.
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Deep Learning powering speech rec.

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What happens when the dictionary is just a website? We'll soon find out

What happens when the dictionary is just a website? We'll soon find out | Language Technology | Scoop.it
Most Americans have grown up thinking of "Webster's dictionary" as the gold standard for definitions.

Via Charles Tiayon
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How Skype Used AI to Build Its Amazing New Language Translator | WIRED

Very soon now, a select group of Skype beta testers will have a new Microsoft technology that seems borrowed from the world of Star Trek.
Natural Language Careers's insight:

this is epic.

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Hawking: AI could end human race

Hawking: AI could end human race | Language Technology | Scoop.it
Prof Stephen Hawking, one of the world's leading scientists, warns that artificial intelligence "could spell the end of the human race".
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End-of-year lists: A compilation of the year's best worst words - The Globe and Mail

End-of-year lists: A compilation of the year's best worst words - The Globe and Mail | Language Technology | Scoop.it
Lexicographers are celebrating new and vogue usages – but what of meanings that no longer resonate the way they once did?
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A picture is worth a thousand (coherent) words: building a natural description of images

A picture is worth a thousand (coherent) words: building a natural description of images | Language Technology | Scoop.it

People can summarize a complex scene in a few words without thinking twice. It’s much more difficult for computers. But we’ve just gotten a bit closer -- we’ve developed a machine-learning system that can automatically produce captions (like the three above) to accurately describe images the first time it sees them. This kind of system could eventually help visually impaired people understand pictures, provide alternate text for images in parts of the world where mobile connections are slow, and make it easier for everyone to search on Google for images.

Recent research has greatly improved object detection, classification, and labeling. But accurately describing a complex scene requires a deeper representation of what’s going on in the scene, capturing how the various objects relate to one another and translating it all into natural-sounding language.


Many efforts to construct computer-generated natural descriptions of images propose combining current state-of-the-art techniques in both computer vision and natural language processing to form a complete image description approach. But what if we instead merged recent computer vision and language models into a single jointly trained system, taking an image and directly producing a human readable sequence of words to describe it?

This idea comes from recent advances in machine translation between languages, where a Recurrent Neural Network (RNN) transforms, say, a French sentence into a vector representation, and a second RNN uses that vector representation to generate a target sentence in German.

Now, what if we replaced that first RNN and its input words with a deep Convolutional Neural Network (CNN) trained to classify objects in images? Normally, the CNN’s last layer is used in a final Softmax among known classes of objects, assigning a probability that each object might be in the image. But if we remove that final layer, we can instead feed the CNN’s rich encoding of the image into a RNN designed to produce phrases. We can then train the whole system directly on images and their captions, so it maximizes the likelihood that descriptions it produces best match the training descriptions for each image.


Via Dr. Stefan Gruenwald
Natural Language Careers's insight:

Google making progress towards automatic captioning.  Cool stuff.

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How Brands Can Become More Emotionally Intelligent on Social Media - Social Times (blog)

How Brands Can Become More Emotionally Intelligent on Social Media - Social Times (blog) | Language Technology | Scoop.it
Traditional social metrics actually aren't that useful -- it's emotional intelligence that counts.
Natural Language Careers's insight:

It's OK folks.  "Next generation" NLP is here and apparently it can do Sentiment Analysis.  That's OK then.

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New Amazon Echo Launched - Voice Recognition for the home

New Amazon Echo Launched - Voice Recognition for the home | Language Technology | Scoop.it
Amazon Echo is designed around your voice. Ask it for music, news, weather, information, and more. Get answers instantly. Learn more.
Natural Language Careers's insight:

This could be awesome.   If it works.

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Human Language Is Biased Towards Happiness, Say Computational Linguists

Human Language Is Biased Towards Happiness, Say Computational Linguists | Language Technology | Scoop.it
Humans use positive words much more often than negative ones in a wide range of languages
Natural Language Careers's insight:

Some Monday morning happiness for you all.

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The Problem With Sentiment Analysis

The Problem With Sentiment Analysis | Language Technology | Scoop.it
Sorting social media chatter into positive and negative buckets is so 2009.
Natural Language Careers's insight:

There's more to Sentiment than meets the eye -- "a simple thumbs up or down as "sentiment" is worse than meaningless--it's simply not true."

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Mad or Sarcastic? Your Computer Might Know Someday

Mad or Sarcastic? Your Computer Might Know Someday | Language Technology | Scoop.it
The software on your smartphone may be able to recognize your voice, but it probably can't pick up nuances like sarcasm or outrage.
Natural Language Careers's insight:

Using pitch to identify sarcasm may have some merit, but what about text?  

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Stanford system combines software with human intelligence to improve translation

Stanford system combines software with human intelligence to improve translation | Language Technology | Scoop.it
Using software to suggest word choices makes professional translators more productive in the $34-billion-a-year market for foreign language translation.

Via Charles Tiayon
Natural Language Careers's insight:

MT software that improves productivity of a human translator rather than replacing them. 

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The Philosophy of Data Science - Susan Halford: "Semantic web innovations are likely to have implications for us all"

The Philosophy of Data Science - Susan Halford: "Semantic web innovations are likely to have implications for us all" | Language Technology | Scoop.it
Co-director of the Web Science Institute, Susan Halford, responds to Mark Carrigan's latest round of questions for our series on the philosophy of data science. In this feature she underlines the n...
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Facebook to add voice transcription to Messenger | ZDNet

Facebook to add voice transcription to Messenger | ZDNet | Language Technology | Scoop.it
Facebook has announced that it is trying out its voice to text product in Messenger with selected users before rolling it out across the platform.

Via Charles Tiayon
Natural Language Careers's insight:

There's a kind of beautiful irony to this.  Replacing actually talking to each other with talking to phone/converting to text/sending message/converting to voice.


I remember when tech simplified workflows ha ha!

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theverge: Google Translate can now read signs... | in the cloud

theverge:




Google Translate can now read signs for you in real time, which is just completely insane
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Why Robots Won't Take Over the World Anytime Soon - Nextgov

Why Robots Won't Take Over the World Anytime Soon - Nextgov | Language Technology | Scoop.it
Efforts to develop artificial intelligence continue apace, with major computer science research and development facilities devoting time, energy, and money to making computers behave like humans.
Natural Language Careers's insight:

I like how language is firmly at the epicenter of AI in this article :)

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The joy of lexicography

The joy of lexicography | Language Technology | Scoop.it

Is the beloved paper dictionary doomed to extinction? In this infectiously exuberant talk, leading lexicographer Erin McKean looks at the many ways today's print dictionary is poised for transformation.

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Professor proposes alternative to 'Turing Test'

Professor proposes alternative to 'Turing Test' | Language Technology | Scoop.it
(Phys.org) —A Georgia Tech professor is offering an alternative to the celebrated 'Turing Test' to determine whether a machine or computer program exhibits human-level intelligence. The Turing Test - originally called the Imitation Game - was proposed by computing pioneer Alan Turing in 1950. In practice, ...
Natural Language Careers's insight:

What do you think?  Do we need an alternative to the Turing test, and how hard is creating "art" going to be for a ML system?

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Smile, You're Speaking Emoji: The Rapid Evolution of a Wordless Tongue - New York Magazine

Smile, You're Speaking Emoji: The Rapid Evolution of a Wordless Tongue - New York Magazine | Language Technology | Scoop.it
Are words on the way out?
Natural Language Careers's insight:

"The 3,000-year-old tilde might want to consider rebranding itself as Invisible Man With Twirled Mustache."

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Ghosts in the machine: how AI research is bringing game characters to life

Ghosts in the machine: how AI research is bringing game characters to life | Language Technology | Scoop.it
In an era of crowd-sourced machine intelligence, games may be about to do what authors have been trying to do for centuries. By Thomas McMullan
Natural Language Careers's insight:

The two Cleverbots talking to each other bear a scary resemblance to my children....

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Computers Are Writing Novels, But Do You Really Want To Read Them? - Singularity Hub

Computers Are Writing Novels, But Do You Really Want To Read Them? - Singularity Hub | Language Technology | Scoop.it
It’s 10pm, November 30th, 2013. An author, aiming to finish a novel in November, takes up his laptop and begins typing furiously. By midnight,
Natural Language Careers's insight:

I love that there's a mistake in the title of one of these novels.

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Why You Should Hire A Robot To Write For You

Why You Should Hire A Robot To Write For You | Language Technology | Scoop.it
While we don’t often think of language as a user interface, it is time to start. The growing power of semantic computing and natural language generation are now combining to open up a new frontier in which machine generated language conveys information in ways that other user interfaces cannot. The technology that is emerging for natural language generation works well in the right context but is not fully productized. This leaves plenty of room for Early Adopters to figure this technology out and put it to work in ways that will create an advantage. What follows is the case for why this is the right time to get smart about natural language generation and how to get started.
Natural Language Careers's insight:

NLG is our prediction for hottest lang tech application area in 2015/2016

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Dell: Robots and drones to drive the cloud market in next decade

Dell: Robots and drones to drive the cloud market in next decade | Language Technology | Scoop.it
Robots, drones and driverless vehicles will propel the next decade of growth in the cloud computing industry, according to a Dell executive.

Via LT-Innovate
Natural Language Careers's insight:

Love the confidence: "You won’t know if you’re talking to a computer or a human"

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Where the data science jobs are, by sector and by state - Gigaom

Where the data science jobs are, by sector and by state - Gigaom | Language Technology | Scoop.it
Want a data science job? Then use the data to help you figure out where to live and what sectors are hiring.
Natural Language Careers's insight:

This is cool.

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