More of an academic question, as it likely isn't a feasible solution for Django, but might a soundex solve this problem? Best I can tell, rules for articles, without exception, are based on the pronunciation of the following word..
Of course, phonology can be regional, subjective, and unpredictable. "Wind"
(the flow of gases) and "wind" (circular weaving) are identical to a
template tag but have different vowel sounds. The "a" sound in "bag" is
pronounced much differently in northern Minnesota (where it's bay-g) than
they do in Baltimore.
This feels unsolvable.
On Wed, Jan 6, 2010 at 9:56 AM, Hanne Moa <hanne....@gmail.com> wrote:
> 2010/1/6 sago <idmilling...@googlemail.com>:
> >> 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 %}
>
> Disclaimer: I have a masters degree in Computational Linguistics. Ths
> is a simplified account of "last year of bachelor"-stuff:
>
> Human language cannot (mathematically proven) be modelled by a mere
> regexp, as human language is not only context-free, (needing a full
> parser) but context-sensitive (needing parsers we don't really have
> yet). Nice, yes?
>
> It cannot go in humanize but it could go in localflavor for English.
> It would be necessary with a stemmer and a replaceable wordlist
> though, as what words get "an" and what get "a" not only depends on
> country but also on specific publishing styles - and all of this has a
> tendency to change over time.
>
>
> HM
>
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