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food for thought. reading certain things backwards.

Use buffer local pronunciations --emacspeak already does
this for instance when it displays the list of possible
completions  when navigating client-side image maps--
in that case the common url prefix is defined to  have an
empty pronunciation, and you hear the relevant piece of the
>>>>> "Jerry" == Jerry Sievers <jerry@jerrysievers.com> writes:

    Jerry> hi folks.  wondering if anyone else has said to
    Jerry> their self, while listening to a file path,
    Jerry> current working directory or whatever, that it
    Jerry> would be nice for this to be split by words and
    Jerry> read right to left?

    Jerry> this assumes that the most interesting data in
    Jerry> the line is at the right and speech would be
    Jerry> silenced before hearing lots of redundant output.

    Jerry> i doubt something like this could be generalized
    Jerry> and i'm unaware that such a feature exists right
    Jerry> now.  please let me know if i've overlooked
    Jerry> something.

    Jerry> the best example i can give of how this might be
    Jerry> desireable, is when browsing a listing of sorted
    Jerry> file paths.  in this case, the data to the left
    Jerry> most of the line changes to least often and might
    Jerry> well be ignored in some cases.

    Jerry> i know of the column filter feature which can be
    Jerry> used to suppress speaking of arbitrary spans
    Jerry> given that the span is known and input ahead of
    Jerry> time.  what i am suggesting here i believe
    Jerry> doesn't fit that model.

    Jerry> if others might be interested in this feature,
    Jerry> i'll code something and post it for your
    Jerry> scrutiny.

    Jerry> thanks.  --
    Jerry> -------------------------------------------------------------------------------
    Jerry> Jerry Sievers 305 854-3001 (home) Unix
    Jerry> Administrator/Consultant 305 321-1144 (mobile)
    Jerry> http://www.JerrySievers.com/~gsievers/
    Jerry> mailto:jerry@jerrysievers.com

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Best Regards,

IBM Research: Human Language Technologies
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