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VMs: VMs word models --> state machines...?



Hi everyone,

I'm planning to extend my JavaScript VMs code to handle various well-known VMs "word" models, to measure how well they actually work relative to each other - as my code already uses a state machine, it should just be a question of converting each paradigm to its implicit state machine, letting it run, & gathering statistics.

But rather than reinvent the wheel, may I ask if anyone has already tried to turn VMs word models into state machines? I don't recall seeing anything, but there may be something somewhere...

For example, I just tried to do this for Michael Winkelmann's recent model, but my poor German comprehension has left me a little bemused - can someone get me properly started?
http://elias.weltretter.de/index.php?txt_id=45


AIUI, this says:-

I-class			i	n	r	l	m
E-class		e	o	s	y	g
K-class (gallows)	k	t	f	p
L-class		ih	ch	cfh		[+ sh ?]
X-class (exceptions)	a	q

Law#1:	E follows (E / ch / K / a)
Law#2:	I follows (I / L)
Law#3:	I (except i) usually terminates a word
Law#4:	E (except e  [or "o" too?] ) usually terminates a word
Law#5:	[Not sure about this one - any suggestions?]
Law#6:	[Not sure about this one either - any suggestions?]
Law#7:	K-class is nearly always surrounded by E-class, or as c[K]h

The absence of "d" is puzzling: should the final E-class "g" actually be "d"? This could just be a typo in the table. I'm far from sure about "ih" as well, & the whole issue of c[K]h seems not to fully match how they appear in the text IIRC... etc etc.

Thanks, .....Nick Pelling.....


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