VisualText is the premier integrated development environment for building information extraction systems, natural language processing systems, and text analyzers. The Professional version is now FREE for personal, internal, academic, development, and non-commercial use.

The main module, Lingua::EN::MatchNames, exports one function by default: name_eq(). You can either feed it four parameters:

name_eq( $firstname0, $lastname0, $firstname1, $lastname1 ) or two (thanks to Lingua::EN::NameParse, which breaks full names into their constituent components):

name_eq( $name0, $name1 ) and it will return a certainty score between 0 and 100, or undef if the names cannot be matched via any method known to the module.

Researchers at Germany's Karlsruhe Institute of Technology (KIT) have developed a method for mobile phones to convert silent mouth movements into speech. The technology is based on the principle of electromyography, that is the acquisition and recording of electrical potentials generated by muscle activity. This muscle activity is measured in the face and converted into speech.

An example is soundless calling.

The user can speak into the phone soundlessly, but is still understood by the conversation partner on the other end of the line. As a result, it is possible to communicate in silent environments, at the cinema or theater, without disturbing others. Another field of use is the transmission of confidential information.

We asked the experts when they estimated AI would reach each of four milestones:

* passing the Turing test by carrying on a conversation well enough to pass as a human * solving problems as well as a third grade elementary school student * performing Nobel-quality scientific work * going beyond the human level to superhuman intelligence

We also asked how the timing of achieving these milestones would be affected by massive funding of $100 billion/year going into AGI R&D.

We also probed opinions on what the really intelligent AIs will look like — will they have physical bodies or will they just live in the computer and communicate with voice or text? And how can we get from here to there?

This free web-based online language identifier analyzes and identifies what language any text is written in. Just copy and paste the text snippet that you want identified into the text box above and click Go! Or click «example» above to see how it works.

Andrew Carlson along with Prof. Tom Mitchell and other researchers at Carnegie Mellon University have developed an artificial intelligence language-learning program that never ends.

It simply continues to run and learn more of the English language every day.

The idea is that the Web contains so much information to be extracted, and has so much new information added each day, that an AI program can continuously mine it without its knowledge ever reaching a plateau.

Use past news events to enhance your program trading strategies. Thomson Reuters NewsScope Archive is a comprehensive, machine-readable archive of Reuters news that presents events exactly as they broke to the markets. Each release of information is timestamped to the millisecond and tagged with an array of metadata fields for easy machine consumption.

Shortly after hearing of a simple two-way Spanish-to-English translator for the iPhone, Toshiba has announced that it has developed a new translation system that requires no server-side interaction.

The app is designed to be ran completely on one's mobile phone, which will eliminate costly data roaming fees that are generally incurred using other systems that require an Internet connection to retrieve translations. The system is trilingual in nature, and in essence, it's a smashed version of a PC app that already exists. It enables users to translate freely between Japanese, Chinese and English. Initially, the software employs speech recognition to determine the language and what has been said, and then it uses either machine translation or rule-based machine translation to break the phrases down and convert them into another language.

Jonathan Wilkins of iSEC Partners said the method had a total success rate of 17.5 percent against reCAPTCHA. The rate is significant because of the wide use of botnets by spammers and other miscreants. Even a modest-sized network of 10,000 infected machines with a success rate of 0.01 percent would yield 10 successes every second. That could translate into 864,000 new accounts every day, he said.

...

A Google spokesman said the data collected in the report was collected in early 2008 and didn't reflect enhancements made to reCAPTCHA since then.

This portal is based on and replaces the NLG Resources Wiki run by ACL SIGGEN from November 2005 to February 2009.