The code I've got so far works pretty well - I've tested it on some
medium-sized corpora and the only times the expected result was
different from the actual result was when the corpus was wrong. The
code works by first checking a few specific rules for numbers and
acromyns, then checking against a few exceptional cases (word
prefixes), then checking whether the word starts with a vowel. Most of
the rules came from some Perl code I found a while a go - just ported
them over to Python.
But I agree that this would be far too difficult ( / impossible) to
make multi-lingual so is perhaps not appropriate for inclusion in
Django.
Harry
On Jan 6, 2:17 pm, sago <idmilling...@googlemail.com> wrote:
> > Hmm, can it handle the following?
>
> > an honest man
> > a history book
> > an historical book (debatable)
>
> It can't, the rules for the indefinite article around 'h' are complex
> and depend on the etymology of the word used. To add complexity the
> lexicographic rules are often different to the rules for speech, and
> UK rules differ from US rules (and possibly Oz too, but I don't
> know).
>
> > If you present some research to
> > demonstrate how this tag could/would work for non-English languages,
> > it would be a lot more compelling.
>
> That's not going to work, in any meaningful sense. That peculiarity of
> the article is highly English-specific. The generalization would
> surely be something like
>
> {% if /some-regex/.matches(word) %}{{ form1 }} {{ word }}{% else %}
> {{ form2 }} {{ word }}{% endif %}
>
> where the regex is language and context dependent. There are various
> regex replacement filters/tags out in the djangosphere. Could you use
> one of them?
>
> > (That's NT Koine Greek, it might be different/simpler/more complicated
> > in modern Greek).
>
> What is it about Django and NT scholars - have you come across James
> Tauber (of Pinax fame?)
>
> Ian.
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