Will,

Affixes are morphological constructions and my system could have rules to 
handle them.  I plan eventually to include such rules for combinations that are 
new.  However the Texai lexicon will explicitly represent all common word forms 
and multi-word phrases that would otherwise be covered by rules in order to 
accommodate exceptions.  My goal is precise understanding and generation, and 
that goal is guided by the desire to be cognitively plausible, (i.e. do as 
humans do).  I believe that the human mental lexicon caches morphological rules 
in the projected word forms paired with their semantics, and invokes these 
rules only when comprehending a new or uncommon combination.

-Steve
 
Stephen L. Reed 
Artificial Intelligence Researcher
http://texai.org/blog
http://texai.org
3008 Oak Crest Ave.
Austin, Texas, USA 78704
512.791.7860

----- Original Message ----
> From: William Pearson <[EMAIL PROTECTED]>
> To: [email protected]
> Sent: Thursday, January 10, 2008 9:26:27 AM
> Subject: Re: [agi] Incremental Fluid Construction Grammar released
> 
> On 10/01/2008, Benjamin Goertzel  wrote:
> > > I'll be a lot more interested when people start creating
> NLP
>   systems
> > > that are syntactically and semantically processing
> statements
>   *about*
> > > words, sentences and other linguistic structures and
> adding
>   syntactic
> > > and semantic rules based on those sentences.
> 
> Note the new emphasis ;-) You example didn't have statements *about*
> words, but new rules were inferred from word usage.
> 
> > Depending on exactly what you mean by this, it's not a very far-off
> > thing, and there probably are systems that do this in various ways.
> 
> What I mean by it, is systems that can learn from lessons like
> the
>   following
> 
> http://www.primaryresources.co.uk/english/PC_prefix2.htm
> 
> I could easily whip up something very narrow which didn't do too
> poorly for prefixes (involving regular expressions transforming the
> words). But it would be horribly brittle and specific only to prefixes
> and would "know" what prefixes were before hand.
> 
> And your, "I be," example made me think of pirates rather than ebonics
> :). It is also not what I am looking for, because it relies on the
> system looking for regularities, rather than being explicitly told
> about them. The benefits of being able to be told there are
> regularities mean that you do not always have to be looking out for
> them, saving processing time and memory for other more important
> tasks.
> 
>   Will
> 
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