Thanks for the quick answer!

I think that the problem here cannot be in the development step, it
must be more related to decoding.

Regardless the way weights are estimated, translation changes when I add
new features with zero weight (not in development but in test). They
shouldn't contribute to score the final translation, right?

Cristina


On Wed, 25 Jul 2012, Miles Osborne wrote:

> this is a fairly typical result for MERT.  i notice you are using
> MIRA, which is claimed to be more reliable.  see
>
> http://www.aclweb.org/anthology/N/N09/N09-1025.pdf
>
> note that getting MIRA to work takes a lot of tweaking, so read the
> fine print carefully
>
> Miles
>
> On 25 July 2012 17:24, Cristina <[email protected]> wrote:
> >
> > Dear all,
> >
> > We are doing some experiments by adding new features at phrase level in
> > the translation table. We have done a first experiment to see the effects
> > and they are quite weird:
> >
> >  * We build a translation table with 9 features and a similar translation
> > table with 18 features (the same 9 features + 9 new features)
> >
> >  * We run MERT (or MIRA) on a dev set using the first translation table (9
> > features)
> >
> >  * We translate a test set with 2 configurations:
> >   - MERT on 9 features using the translation table with 9 features
> >   - MERT on 9 features using the translation table with 18 features (9 +
> > 9) where the weight for the 9 extra features is set to 0
> >
> > We loose more than 3 points of BLEU with the second configuration with
> > respect to the first one. (Using MERT on the 18 features gives similar
> > results to the second configuration)
> >
> > Does anyone know if there is some penalty when adding more features? Or
> > has anyone encountered the same problem?
> > Thanks in advance!
> >
> > Best,
> >
> >  Cristina
> > _______________________________________________
> > Moses-support mailing list
> > [email protected]
> > http://mailman.mit.edu/mailman/listinfo/moses-support
>
>
>
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