Newsgroups: comp.ai.nat-lang
Path: cantaloupe.srv.cs.cmu.edu!das-news.harvard.edu!news2.near.net!MathWorks.Com!europa.eng.gtefsd.com!howland.reston.ans.net!EU.net!uknet!festival!hwcee!ceecjs
From: ceecjs@cee.hw.ac.uk (Chris J Schnurr)
Subject: Re: Text generation writing tool
Message-ID: <Cw5zqw.I28@cee.hw.ac.uk>
Keywords: Predictive Adaptive Lexicon, langauge generation
Sender: news@cee.hw.ac.uk (News Administrator)
Organization: Dept of Computing & Electrical Engineering, Heriot-Watt University, Scotland
References: <Cw2ABJ.IBC@cee.hw.ac.uk> <3558bs$580@hickory.asel.udel.edu> <356ti7$134@redwood.cs.scarolina.edu>
Date: Thu, 15 Sep 1994 09:30:31 GMT
Lines: 22

>does anyone know of word prediction approaches that rely upon syllabic
>parsing?  i have been working to determine the syllables of english and
>recently enjoyed some success.  one application i had determined was
>"intelligent word-from-string recognition" based upon a "sounds-like"
> syllabic breakdown.

The Dundee PAL system (Predictive Adaptive Lexicon) which predicts words 
as you type them (see original post) also has a spelling checker which
matches words phonetically.

I'm not sure of the way it does it but it allows you to match 
"sound alike" words rather than spelled alike words. Hope this may be of
use ?

Chris


        The farmer sold the cow because she == gave no milk.
        The farmer sold the cow because she == needed money.  
        Stick that in your semantic net and parse it !
        ============== ceecjs@uk.ac.hw.cee =================
        The bane of HCI is the Human...
