RE: [kidsgames] word familiarity

["Brian Thompson" <briandthompson@home.com>]

I have been reading the documentation from the wordnet and instantly thought
of this email.  My thoughts about the database have only been solidified by
what I have read.  I have been reading linguistic texts and yes several
dictionaries and have realized the true power a database such as this would
wield in society.  I hope to nail down a good basic structure and post it
soon, keep in mind I am getting new ideas everyday about what to include in
the function, even XML links to webpages of the related subject or specific
place, such as the site of the
ohsolongnamedtowninwalesthathasbeenmentionedherebutisfartolongtoremember
(perhaps that should be the name of a town). Well many revolutions begin
with a single thought.  I have thus far only worked on structure and format
is a thing for days to come, as we can import or export as necessary.

									Brian

> -----Original Message-----
> From: owner-kidsgames@smluc.org [mailto:owner-kidsgames@smluc.org]On
> Behalf Of Brian & Carrie Thompson
> Sent: Sunday, October 17, 1999 5:48 PM
> To: Kidsgames
> Subject: FW: [kidsgames] word familiarity
>
>
> We could start by filing all of the words not commonly used in an
> 'uncommon'
> list.  Then on a 'common' list we could classify them. How about noun verb
> adjective.  And for nouns we use animal vegetable mineral.  For
> verb active
> and passive.  And so forth.  Is there a structure?  I haven't had time to
> download it.  For the words we could use a general/specific tree where
> animal->dog->schnauzer and note the positions in the tree by a
> limb/branch/leaf classification.  We could then snip off the
> words beyond a
> certain point depending on the age.  Kids learn dog before they
> learn animal
> or schnauzer because of the specificity, not having experienced it, or the
> difficulty of pronunciation.  I am certain there is a general
> rule they use
> for developing cirricullum for the classroom perhaps someone, E. D. Hirsch
> comes to mind, has made up a list by age group we could use as a guide for
> developing the structure/trimming.
>
> common->noun-------------------------->animal------>mammal----->do
> g---->schn
> auzer
> 	  verb----------------->passive  vegetable    avian       cat
>         adjective->positive   active   mineral      marsupial   human
> 			 neutral  		   locale
>  			 negative
> 	  adverb
> 	  conjunction
> and so forth......
>
> uncommon would have the same structure...  but it would not be as
> important
> to clarify first so we could just leave them as a list.  The interesting
> thing with the structure is that it could give each meaning a code
> regardless of language and therefore the same structure could be
> use in any
> language as long as the translation is good.  The struture would not lend
> itself to random sentence building for education-- a nonsense sentence
> builder (kind of like the old Adlibs games)-- because different languages
> use different grammatical structure, but eventually that could be figured
> out too.
>
>
> 						Brian Thompson
> > -----Original Message-----
> > From: owner-kidsgames@smluc.org [mailto:owner-kidsgames@smluc.org]On
> > Behalf Of Chris Ellec
> > Sent: Friday, October 15, 1999 11:47 PM
> > To: kidsgames@smluc.org
> > Subject: Re:[kidsgames] word familiarity
> >
> >
> > > I had better luck getting it here
> > > http://metalab.unc.edu/pub/Linux/libs/yawl-0.1.tar.gz
> > >
> > > Dennis
> > >
> >
> > I got the package. It's 2.6M after untar, and the readme claims 258,000
> > words....
> >
> > How do we handle this ?
> >
> > chris.
> >
> > -
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> >
>
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