>This paragraph suggests that the spelling transformation would
>proceed the ALPHED transformation.

Probably would have to be a fork rather than pipe, once it was phonemed, I
would think it would be hard to get back into recognizable English. Then
again that's what IBM ViaVoice and Dragon Dictate do, are there Open source
voice recognition projects with an API call into we could inject the phoneme
stream?
</sarcasm> That should not make too big a dent in CPU utilization </sarcasm>


Running an eval on the ALPHED stream and generating a found/unfound ration
against a dictionary

Keeping a hash of the found words in sequence might help too, although there
seems to be a trend in quoting from Project Gutenberg, and random blogs to
poison hashing functions, maybe just hash word tuples? Probably to close to
current Bayesian methods.

Best Regards, Bob


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