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CONLANG  September 2010, Week 2

CONLANG September 2010, Week 2

Subject:

Re: Possibly the simplest possible self-segregating morphology

From:

Jim Henry <[log in to unmask]>

Reply-To:

Constructed Languages List <[log in to unmask]>

Date:

Sun, 12 Sep 2010 18:53:22 -0400

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (56 lines)

On Sun, Sep 12, 2010 at 5:23 PM, Logan Kearsley <[log in to unmask]> wrote:
>>> We could ask who can write the
>>> shortest segregating computer program for his morphology,
>>> but then we're talking about computers, not about human
>>> speakers.

>> Indeed we would be. If the language is for human communication then IMO it's
>> humans we should be concerned with. If we achieve a system whereby
>> self-segregation is evident to humans than any computer programmer worth

> Er... I wouldn't be quite that bold. Human brains are *really* good at
> pattern matching (hence we can get along without self-segregating
> natural languages). There's lots of stuff that's blatantly obvious to
> people but incredibly difficult to program computers to recognize. I
> don't know what it would be like, but I can definitely imagine a
> self-segregation scheme that would be highly compatible with human
> brains, but for that very reason extremely difficult to formalize for
> a computer.

And the reverse is probably true as well.   There are probably an very
large but finite number of possible self-segregating morphology
schemes at any given level of algorithmic complexity.  I think someone
upthead probably mentioned one of the class at the simplest or
second-simplest level[1] -- all morphemes begin with exactly one "k"
and continue with zero or more instances of various other graphemes.
Schemes of this class are probably *too* simple to be useful -- in
them, other important qualities are sacrificed to simplicity.  The
next-simplest class, I reckon, would include those where there is a
set of multiple graphemes of which one instance marks the beginning of
a morpheme, which then contains zero or more instances of graphemes
not iun that set.  But within that set of SSM schemes, all of which
are equally easy to code a parser for,[2] I suspect some of them are
far easier for humans to learn to parse in realtime than others --
namely, those where the set of initial (or terminal) graphemes form a
natural set w.r.t. their phonological associations; those would
proably be easier to parse than those where the initial or terminal
set are a more or less random subset of the language's graphemes.

1. I suspect the set of schemes where all morphemes are exactly the
same length are even simpler than those where there is a single
terminal or a single nonterminal character.

2. All the above pertains to writing parsers for a stream of ASCII or
Unicode text.  If we're talking about OCR recognition of an actual
original writing system, or speech recognition of a novel conlang
phonology, then indeed some graphemes or phonemes would probably be
significantly easier for the parser to treat as morpheme boundaries
than others, and in these cases I would expect somewhat more (but far
from perfect) congruity with which schemes are easier for humans.

http://wiki.frath.net/List_of_self-segregating_morphology_methods

-- 
Jim Henry
http://www.pobox.com/~jimhenry/

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