--- Richard Loosemore <[EMAIL PROTECTED]> wrote: > Matt Mahoney wrote: > > > I doubt you could model sentence structure usefully with a neural network > > capable of only a 200 word vocabulary. By the time children learn to use > > complete sentences they already know thousands of words after exposure to > > hundreds of megabytes of language. The problem seems to be about O(n^2). > As > > you double the training set size, you also need to double the number of > > connections to represent what you learned. > > > > > > -- Matt Mahoney, [EMAIL PROTECTED] > > The problem does not need to be O(n^2). > > And remember: I used a 200 word vocabulary in a program I wrote 16 > years ago, on a machine with only one thousandth of today's power. > > And besides, solving the problem of understanding sentences could easily > be done in principle with even a vocabulary as small as 200 words. > > Richard Loosemore.
What did your simulation actually accomplish? What were the results? What do you think you could achieve on a modern computer? -- Matt Mahoney, [EMAIL PROTECTED] ----- This list is sponsored by AGIRI: http://www.agiri.org/email To unsubscribe or change your options, please go to: http://v2.listbox.com/member/?member_id=4007604&user_secret=8eb45b07
