Re: Robert...EDS - questons/comments

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Check this out.....

 http://www.mathtools.net/MATLAB/

Good info on statistical mapping / problem solving
that may/may not help in some sortof way.....

Has a wealth of information on just about anything
that could relate to programming......

Euman

----- Original Message -----
From: "Kat" <gertie at PELL.NET>
To: "EUforum" <EUforum at topica.com>
Sent: Tuesday, February 13, 2001 13:04
Subject: Re: Robert...EDS - questons/comments


| On 13 Feb 2001, at 8:25, SR.Williamson wrote:
|
| > Darn it, Kat, you went and made my brain work (such as it is) this
| > morning.
|
| Glad to be of service. smile
|
| > Many many years ago, when I was taking some Operations Research classes,
| > we talked about search methods, especially search that may or may not
| > have an end point. I don't remember much unfortunately.
| >
| > You probably know more about this than I do, and if not, *somebody* here
| > does, since I'm sure it's in some 200 level undergrad course somewhere.
| > Anyway, one thing we talked about is narrowing the scope of the search
| > with assumptions. For example, if the word starts with a consonant as
| > spelled, assume it really starts with a consonant. Secondly, assume that
| > beginning consonants are phonetic clones or adjacent on the keyboard.
| > Right there you've slashed your search quite a bit.
|
| Well, not really, because you are making an assumption with a degree of
correctness,
| possibly a correctness factor of zero. If you have run down the phonetic
clones list,
| and found a possible match, you could still be in error, and should check
keybd
| layouts, different languages, personal typoing habits, regional spelling
habits, etc..
| And the word which is typoed isn't in the list you have. So you start a
new search with
| a new assumption, repeatedly, untill you get a match you can accept, which
still may
| not be correct, and you will never know, cause you didn't run the other
algorithms and
| lists.
|
| > Another option might be to use heuristics. Replace letter at random from
| > a set of rules like those above, compare it to a dictionary of real
| > words, and if it fits, go on. If not, try another letter. This can be
| > optimized by deciding the letter to be replaced based on a table of
| > probabilities of letter consecutiveness and word length. For example,
| > the most common English word is "the". A combination that is 3 letters
| > and has "he" at the end is highly likely to be a "t", and there are a
| > limited number of other possibilities like "then", "they", "thee",
| > "she", "he", etc.
|
| Are you speaking of using the suffix tree? Problem is, as i see it, is
that eventually you
| will have every letter of the alphabet followed/preceeded  by every other
| letter/sequence, so everything matches to some extent, somewehere, even if
it's
| wrong. Finding a word already in the tree is easy, but then so is a binary
search in a
| list. I expect you'll start with the unknown, and search a sequence tree
for every
| subsequence contained int he unknown, and end up with a multitude of
results in the
| form Graeme's diff() code outputs? Ack! (No offence to Graeme, it's just a
case of
| different solutions for different problems.)
|
| > Of course, I'm only adding to the processor overhead, but it seems to me
| > that there is some breakeven point where the smaller dictionary size
| > makes up for the fact that the processor has to choose dictionaries and
| > do multiple guesses. Like I said, I'm sure you know more about this than
| > I do though.
|
| There are several methods for reducing the search scope, such as knowledge
| (medical, physics) domain limits, language (english, spanish) limits,
playing dumb (if
| the word isn't known, ignore it, or ask about it, or change the topic),
etc., but i do not
| wish to impose limits, especially limits of understanding the words, even
typoed words.
|
| Kat
|
|
|

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