It's Christmas in July...well almost...Sixpence is back with of all things a Christmas Album, details below in the article from Billboard.com.
Sixpence None The Richer's Leigh Nash
June 23, 2008 , 1:00 PM ET
Jonathan Cohen, N.Y.
Reunited pop/rock outfit Sixpence None The Richer has put the finishing touches on its first Christmas album. "The Dawn of Grace" is due Oct. 14; album opener "Angels We Have Heard on High" can be streamed exclusively from Billboard.com.
The 10-track set includes eight traditional Christmas songs and two originals, "The Last Christmas" and "Christmas for Two." Jars Of Clay's Dan Haseltine guests on "Silent Night."
Sixpence None The Richer played its first show in four years during South by Southwest in March, and has a handful of dates on tap this summer, beginning July 2 at the Cornerstone Festival in Marietta, Ill.
The group is expected to hit the studio in the coming weeks to work on a new album, due early next year.
Here is the track list for "The Dawn of Grace":
"Angels We Have Heard on High" "The Last Christmas" "O Come, O Come Emmanuel" "Silent Night" (featuring Dan Haseltine of Jars Of Clay) "Riu, Riu, Riu" "Carol of the Bells" "Christmas Island" "River" "Christmas for Two" "Some Children See Him"
Find this article at: http://www.billboard.com/bbcom/news/article_display.jsp?vnu_content_id=1003819705
Set your mood rings on blue people…. and join me every weekday afternoon at 4:20. That’s when I break one off from the home stash and fire up “The Archive” only on 1065….The Arch!
reCAPTCHA is a free CAPTCHA service that helps to digitize books.
A CAPTCHA is a program that can tell whether its user is a human or a computer. You've probably seen them Ń colorful images with distorted text at the bottom of Web registration forms. CAPTCHAs are used by many websites to prevent abuse from "bots," or automated programs usually written to generate spam. No computer program can read distorted text as well as humans can, so bots cannot navigate sites protected by CAPTCHAs.
About 60 million CAPTCHAs are solved by humans around the world every day. In each case, roughly ten seconds of human time are being spent. Individually, that's not a lot of time, but in aggregate these little puzzles consume more than 150,000 hours of work each day. What if we could make positive use of this human effort? reCAPTCHA does exactly that by channeling the effort spent solving CAPTCHAs online into "reading" books.
To archive human knowledge and to make information more accessible to the world, multiple projects are currently digitizing physical books that were written before the computer age. The book pages are being photographically scanned, and then transformed into text using "Optical Character Recognition" (OCR). The transformation into text is useful because scanning a book produces images, which are difficult to store on small devices, expensive to download, and cannot be searched. The problem is that OCR is not perfect.
reCAPTCHA improves the process of digitizing books by sending words that cannot be read by computers to the Web in the form of CAPTCHAs for humans to decipher. More specifically, each word that cannot be read correctly by OCR is placed on an image and used as a CAPTCHA. This is possible because most OCR programs alert you when a word cannot be read correctly.
But if a computer can't read such a CAPTCHA, how does the system know the correct answer to the puzzle? Here's how: Each new word that cannot be read correctly by OCR is given to a user in conjunction with another word for which the answer is already known. The user is then asked to read both words. If they solve the one for which the answer is known, the system assumes their answer is correct for the new one. The system then gives the new image to a number of other people to determine, with higher confidence, whether the original answer was correct.
Currently, we are helping to digitize books from the Internet Archive and old editions of the New York Times.
What is reCAPTCHA?
reCAPTCHA is a free CAPTCHA service that helps to digitize books.A CAPTCHA is a program that can tell whether its user is a human or a computer. You've probably seen them Ń colorful images with distorted text at the bottom of Web registration forms. CAPTCHAs are used by many websites to prevent abuse from "bots," or automated programs usually written to generate spam. No computer program can read distorted text as well as humans can, so bots cannot navigate sites protected by CAPTCHAs.
About 60 million CAPTCHAs are solved by humans around the world every day. In each case, roughly ten seconds of human time are being spent. Individually, that's not a lot of time, but in aggregate these little puzzles consume more than 150,000 hours of work each day. What if we could make positive use of this human effort? reCAPTCHA does exactly that by channeling the effort spent solving CAPTCHAs online into "reading" books.
To archive human knowledge and to make information more accessible to the world, multiple projects are currently digitizing physical books that were written before the computer age. The book pages are being photographically scanned, and then transformed into text using "Optical Character Recognition" (OCR). The transformation into text is useful because scanning a book produces images, which are difficult to store on small devices, expensive to download, and cannot be searched. The problem is that OCR is not perfect.
reCAPTCHA improves the process of digitizing books by sending words that cannot be read by computers to the Web in the form of CAPTCHAs for humans to decipher. More specifically, each word that cannot be read correctly by OCR is placed on an image and used as a CAPTCHA. This is possible because most OCR programs alert you when a word cannot be read correctly.
But if a computer can't read such a CAPTCHA, how does the system know the correct answer to the puzzle? Here's how: Each new word that cannot be read correctly by OCR is given to a user in conjunction with another word for which the answer is already known. The user is then asked to read both words. If they solve the one for which the answer is known, the system assumes their answer is correct for the new one. The system then gives the new image to a number of other people to determine, with higher confidence, whether the original answer was correct.
Currently, we are helping to digitize books from the Internet Archive and old editions of the New York Times.