"In the case of these two types of information that is not appropriate for all users of the catalogue should also be noted that there is anything you would not believe how much I loved them."

    I have been able to find anything in these search results from RT on your
    Google searches by subscribing to the feed via email to state their case
    and their ownership of their owners and are strictly for viewing and printing
    of these books are nothing but another form of therapy for these patients
    is not known whether these are the only ones who can not afford to pay for
    their own users and groups to their Friends / Favorites list yet, so I'ma
    keep popping up in their own right and do not want to be related to their
    particular field or industry in which they are attached to their respective
    owners and are strictly for viewing and printing of these books are nothing
    but another form of therapy for these patients is not known whether these are
    the only ones who can not afford to pay for their own users and groups to
    their Friends / Favorites list yet, so I'ma keep popping up in their own
    right and do not want to be related to their particular field or industry in
    which they are attached to their respective owners...

This is more of a periodic-solution attractor.

Larry and Sergey Dump Shares of the Company and their respective mascots, events and info in the top right corner of the world's largest international multimedia news agency

but after a few more phrases the story gets into a loop.

Kara Thrace and here is their website and buy this product again and again and I'ma let you finish but Beyonce had one of these days I'll bet your life on the road today and they are nothing but another form of therapy for these patients is not known whether these are the only ones who can not afford to pay for their own users and groups to their Friends / Favorites list yet.

That was... trippy.

I guess this particular phrase has been on the internet so much that it skews the machine learning algorithm.

http://googleresearch.blogspot.com/2006/08/all-our-n-gram-ar...

Microsoft also has an n-gram dataset that you can access through a web service:

http://web-ngram.research.microsoft.com/info/

This actually produces less intelligible sentences, but more randomness

"dogs and azithromycin zithromax one dose chlamydia and gonorrhea are the most common form of dementia"

That shouldn't be too hard to do, should it? :)

2 the exact opposite

3 worn out phrase

4 that shouldn't be too hard

5 should it?

I wonder if/how it selects for linguistic quality? While it won't be too useful to the general public if it defaults to the dense academic language of textbooks, I too was a bit startled by the frequency with which 'I'ma let you finish but Beyonce had the best syntactic parser of all time' keeps popping up.

KType was a demo for something like Scribe that I wanted to make for disabled users.

Looks like it includes someone's source code, probably that of the page itself?

The attractor does seem to be "nothing but another form of therapy"..

Almost all letters end in this loop..

I think the main issue here is that logic behind scribe is based on statistical frequency of co-occurrence of strings rather than any semantic logic. Granted, automating the semantics here could be tough and very expensive with the amounts of data available to Google's. However, there are some ways to do that if the index can be structured more efficiently and by using low-level semantic logic like taxonomies - I wrote a white paper about this if anyone is interested: http://www.exorbyte.com/index.php/White-Papers/ajax-incremen...

I doubt that a lot of people will use this, although the obvious place to deploy it is in mobile communications, where per-word prediction is still very slow and text entry is very inefficient. This seems 'good enough' for most functional communications. But I would imagine that it is or will be running in the background soon on all Google pages featuring text entry, like docs or mail, because that will provide a huge flow of data to refine their models against.

I don't have a really strong opinion, though I lean a bit towards the behaviorist approach. There have been some suggestions from ethnomusicologists that small children everywhere sing the same sort of melody on the same scale, which inclined me to the opposite view for a while, but I think that was more of a theory than a finding and still needs evidence.

Edit: You can use Scribe on any web page. From the help section: "Google Scribe can be used anywhere, on any web page, using the Google Scribe Bookmarklet.

From the Google Scribe home page, drag the Google Scribe Bookmarklet (located below the text box) to Bookmarks toolbar (or Favorites toolbar depending on your browser). To use Google Scribe on a web page, click on the Google Scribe Bookmarklet. Google Scribe will then enable itself on the active text field on the webpage. Enabled text fields display the icon at top end corner of the active field."

It might make sense to use this as one predictor for transcribed text in Google Voice. Then again, once the results begin to diverge, this would amplify the problem.

> Moneywatch MovieTome mySimon NCAA Showtime SmartPlanet TechRepublic The Insider on TV and radio.

http://www.inference.phy.cam.ac.uk/dasher/

it uses this prediction to make it efficient for people who cannot type, type.

is your claim that dasher does not predict well?

or rather, that google scribe predicts better than dasher?

it would surprise me: dasher adapts to the linguistic habbits of the particular user. it learns in real time.

google scribe doesn't appear to do this. it doesn't know who i am.

I've never used dasher so I can't comment on it

I have several friends who use Google to as a first editor of their grammar by making sure that phrases they aren't sure are correct return lots of search results. This seems like a convenient way for them to streamline that process.

Looks like Scribe is only looking one or two words ahead, though - it's not actually checking what you've written, just throwing the Google Suggest box into your writing.