SpellCheck (re-inventing the wheel)
briany at qldlearning.com
Sat Jan 29 16:28:02 EST 2005
You might check out something like this:
There are other similar algorithms also, but basically it would allow
you to make phonetic matches.
You might also look at some of the links here:
And here is another link to spell checker friendly word lists:
> Thanks *so* much for this... I really need it... if anyone gets their
> head around some fast algorithms for pulling up a short suggestion
> list before I do, please post it.
> My context is that most words that the users will mis-spell are
> specialized (sanskrit, tamil, names of obscure places e.g. "Chennai"
> ). So, where an obvious mis-spelling like "mikl " the user will know
> how to change to "milk"-- for the specialized words, she will need to
> see a selection of choices...
> I know we could go "crazy" with this and code for auto replacement of
> the mis-spelled word, etc. which adds a new layer of complexity, but
> for now I would be satisfied with manual user entry into a separate
> stack where they could enter 1, 2, 3 initial chars and get a list of
> words starting with those characters (99.9% of cases the first char is
> assured), a click down could put that on their clip board and they
> could paste it over the mis-spelled word. I would have our master
> all-publicaitions lexicon entries loaded-appended to that global
> variable gWords, to supplement the main word list.
> Or, we *could* go nuts and do some repeat loop with a word offset and
> replace all instances of the mis-spelled word if it exists etc..
> Himalayan Academy Publications
> at Kauai's Hindu Monastery
> katir at hindu.org
> On Jan 27, 2005, at 3:14 PM, Alex Tweedly wrote:
>> This took on average 8 millisecs per word in tWords. Perfectly
>> adequate for small input "documents".
>> Then I tried a slightly more complex way:
>>> put url ("file:" & tFile) into gWords
>>> repeat for each word w in gWords
>>> put 1 into gArray[w]
>>> end repeat
>> and then
>>> put tWords into field "inField"
>>> put 0 into t
>>> repeat for each word w in tWords
>>> add 1 to t
>>> replace "." with empty in w
>>> replace "," with empty in w
>>> replace "!" with empty in w
>>> if gArray[w] <> 1 then
>>> set the textstyle of word t of field "inField" to "bold"
>>> end if
>>> end repeat
>> This took 2 millisecs for 50 words, so would be reasonable for even
>> large-ish documents.
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