Updated 145 Days ago
Ok, a lot of debate on if you should use two spaces after a sentence when typing or one space. Read this post and comments to get caught up. We may have found an answer.
Margo (one of the proponents of one space) sent me this answer from about.com:
"It is generally accepted that the practice of putting two spaces at the end of a sentence is a carryover from the days of typewriters with monospaced typefaces. Two spaces, it was believed, made it easier to see where one sentence ended and the next began. Most typeset text, both before and after the typewriter, used a single space.
Today, with the prevalence of proportionally spaced fonts, some believe that the practice is no longer necessary and even detrimental to the appearance of text.
The Bottomline: Professional typesetters, designers, and desktop publishers should use one space only. Save the double spaces for typewriting, email, term papers, or personal correspondence. For everyone else, do whatever makes you feel good."
Whichever way you have been taught, it would be hard to break the habit. (two spaces) Can we all agree to disagree?
I’m guessing that Margo’s explanation makes pretty good sense here. Aside from that, in this day of texting and online correspondence, less is more anyway. In light of that, it’s probably more correct to use one space these days.
I still use two spaces myself anyway but, in my defense, I do use the two letter state abbreviations unlike the prior generation who still insists on using the three letter variety.
...however, when typing on the web, it will only display one space and ignore any subsequent ones, unless you go back in and add the extra spaces with special code, which no one really ever does.
Example: Hi everyone.
(I actually hit the spacebar 7 times between Hi and everyone, but it will only show as one.)
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 Ñ 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.