Hi Francis,
well,maybe.

Anyhow, lemmatisation is useful for many applications. One is frequency
lists e.g. as a way to choose what new words to add to a language pair.
It might be worth some effort to figure out an easy way to do
disambiguation, or rather lexical selection.

Intuitively, I would like to use a translation to distinguish between
different significations. A language model might do the trick, but maybe
an Apertium translation wouldn't be fluent enough to stand the test.
Maybe that's why the lextor module proved non-efficient for lexical
selection.

If the constraint-based lexical selection module is used for a pair, I
cannot see why it couldn't be used. The rules are already in place. All
you have to do is to translate the ambiguous sentences and let the
module select the best translation.

The tricky bit would be to use this information backwards to choose the
right lemma in the original language. I'm not savvy enough to figure out
how to do it.

Yours,
Per Tunedal


On Wed, Mar 2, 2016, at 09:11, Francis Tyers wrote:
> A 2016-03-02 09:09, Per Tunedal escrigué:
> > Hi again,
> > 
> > On Wed, Mar 2, 2016, at 08:34, Francis Tyers wrote:
> >> A 2016-03-02 08:25, Per Tunedal escrigué:
> >> > Hi Francis,
> >> > lemmatisation would be interesting to try, but what about
> >> > disambiguation?
> >> >
> >> > "ambiguous stems/lemmas are given separated by '/' "
> >> >
> >> > Can this be improved by your new lexical selection module somehow? It
> >> > would be better to choose the most probable lemma than simply the
> >> > first.
> >> 
> >> No, it couldn't.
> > 
> > Any other way to do lexical selection that might work?
> > 
> 
> I wouldn't bother, I would let it be ambiguous and then fix it in a 
> post-processing
> step.
> 
> F.
> 
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