Re: Stylesheet for converting XHTML tables to CALS

> I just finished my first attempt to transform XHTML tables into tables
> conforming to the CALS table model.
> Attached is my XSLT 2.0 stylesheet. Every feedback is heartily welcome
> :)

You appear to be generating elements in the xhtml namespace they should
probably be in no-namespace or the new docbook 5 namespace or something,
seeing as <entry>  etc are not xhtml.

<xsl:param name="border" select="if(starts-with(@border,
'0')) then(xs:boolean(0)) else(xs:boolean(1))" as="xs:boolean"
tunnel="yes"/>

you are starting with a boolean value
starts-with(@border,'0')
then if it is true, taking an integer literal and coercing it to a
boolean. If you need boolean values you can just use true() and false()
but here you just need
<xsl:param name="border" select="not(starts-with(@border,'0'))"/>


<xsl:apply-templates
select="xhtml:tr[not(parent::*[local-name()=('thead', 'tbody',
'tfoot')])] | xhtml:tbody/xhtml:tr"/>

It's best not to use local-name() in such tests but just to use name
tests (which are namespace aware) however in this case the current
element is <table> so the parent of every element selected by xhtml:tr
is table and so the filter testing on local-name is not doing anything.
so it could be

select="xhtml:tr| xhtml:tbody/xhtml:tr"/>


In 

  <xsl:template match="xhtml:th | xhtml:td">
		<xsl:variable name="position"
  select="count(preceding-sibling::*) + 1"/>
		<entry>
  			<xsl:if test="@colspan &gt; 1">
				<xsl:attribute name="namest">
					<xsl:value-of
  select="concat('col',$position)"/>

don't you need to take account of any colspan attributes in earlier
columns, and rowspan attributes in earlier rows in order to know which
coulmn an entry in a table corresponds to? (This is the hardest part of
switching between html and cals tables). In the above you are assuming
that the second td entry in a row is corresponding to the second column,
but this is not the case if the first entry spans columns, or if an
entry in an earlier row spans into the first cell of this row.

David

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