Syd,
These all fall into the category of text processing or upconversion, not
tree processing. While XSLT 2.0 provides a nice set of tools for doing
this sort of thing, these are tasks that demonstrate the principle being
discussed precisely in the way they violate it.
That is, it's not the fact that it contains mixed content, but the fact
that your text isn't clean coming in, and has to be ameliorated as it
passes through, that makes these examples fall out.
It's also why in an advanced architecture we might also like to do this
kind of processing in separate transformations from formatting. Note
that these are things you often want to happen as data comes into your
data set, not as it goes out.
Cheers,
Wendell
On 12/20/2010 6:05 PM, Syd Bauman wrote:
Wendell is absolutely correct, a lot of learning goes on 'round here
just "watching over each other's shoulders", which I don't get to do
as much as I'd like.
Watching this conversation, I found myself interested in how many
experts say there is rarely a need to match text nodes. I do that
all the time. Some examples include:
* transforming straight quotes to curly quotes
* conditionally changing "-" to en-dash or em-dash
* convert PUA characters to<tei:g> elements
* deal with soft hyphens
* ditching the punctuation that follows a<list>
* finding the character before a footnote
So I'm guessing either
a) there's a better way for me to be doing these things, or
b) those experts who spoke of the rare need for matching text()
either don't deal with data like mine -- TEI, i.e., mostly mixed
content --, or deal with so much more of it that my needs for
matching text() are, in fact, pretty rare from their point of view
I'm hoping someone will post the better way if it's (a). :-)
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