Thanks your answer in advance,

I read your article and I am running my system according to your offer.
But, note that my experiment is related to a system with only 6 features. I
think, this result is normal for a system with many features.
Results using BLEU in 2 times run system are: 25.27% , 0.2407. (There is a
gap between results- more than 1 percent in some cases)

Is this result normal yet?

Neda Noormohammadi

On Mon, Oct 31, 2011 at 12:15 PM, Barry Haddow
<[email protected]>wrote:

> Hi Neda
>
> If you're interested in determining whether translation method A is better
> than method B, or not, then you shouldn't use predictable-seed. You should
> run
> mert several times and take the average score. Because if you run with
> predictable seeds then all you are verifying is whether A beats B using the
> rather arbitrary seed settings from deterministic mert, nothing more.
>
> I'd suggest that you read the paper I linked - it explains these points and
> more,
>
> cheers - Barry
>
>
> On Monday 31 Oct 2011 08:35:01 Nicola Bertoldi wrote:
> > Hi Neda
> >
> > There is also a parameter of mert-moses.pl      "--predictable-seed"
> >  (see the help) which makes MERT  deterministic.
> >
> > In general, MERT procedure relies on an initial seed    seed_t   at each
> > iteration   t   for the creation of the (20 by default) random starting
> >  points for the optimization;  not that   seed_i   differs from seed_j
>  (if
> >  i differs from j)
> >
> > If you activate this flag "--predictable-seed",  seed_i still  differs
> from
> >  seed_j BUT the sequence seed_1, seed_2, ... seed_N   is always the same;
> >  and hence, the random starting points considered for the optimization
> are
> >  always the same, so that the final results   of the MERT is always the
> >  same.
> >
> > best regards
> > Nicola
> >
> > On Oct 29, 2011, at 6:37 PM, Patrik Lambert wrote:
> > > Hi Neda,
> > >
> > > this happens because the seed used in the MERT optimizer depends by
> > > default on the moment on which you launch it.
> > > If you need deterministic MERT runs, you can set the seed by adding
> this
> > > switch to the mert-moses.pl call:
> > >
> > > --mertargs=" -r $seed "
> > >
> > > Patrik
> > >
> > > Le 29/10/2011 18:11, [email protected] a écrit :
> > >> Message: 3
> > >> Date: Sat, 29 Oct 2011 17:05:11 +0100
> > >> From: Barry Haddow<[email protected]>
> > >> Subject: Re: [Moses-support] mert-moses.pl script
> > >> To: [email protected]
> > >> Message-ID:<[email protected]>
> > >> Content-Type: Text/Plain;  charset="utf-8"
> > >>
> > >> Hi Neda
> > >>
> > >> Yes, this is quite normal. The best plan is to do several runs and
> take
> > >> the average bleu. See this paper for a discussion
> > >>
> > >> http://www.cs.cmu.edu/~jhclark/pubs/significance.pdf
> > >>
> > >> cheers - Barry
> > >>
> > >> On Saturday 29 Oct 2011 10:09:29 Neda NoorMohammadi wrote:
> > >>> hello,
> > >>>
> > >>> In my experiment this is happening:
> > >>>
> > >>> I am running mert-moses.pl script  on a same develop set and
> configure
> > >>> file in a same condition but by each execution I gain different
> weights
> > >>> which leads to different Bleu (about 1%) (note that these executions
> > >>> are independent of each other and are initialized to predefine
> weights
> > >>> of moses.ini).
> > >>>
> > >>> The used features in configure file are: LM: 3gram, Reordering:
> > >>> msd-bidirectional-fe, Alignment: grow-diag-final-and, phrase scores.
> > >>>
> > >>> Is it normal? What is your suggestion?
> > >>> In this situation what is my baseline? The best one or the worth?
> > >>>
> > >>> Neda Noormohammadi
> > >>
> > >> ------------------------------
> > >>
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> > >> [email protected]
> > >> http://mailman.mit.edu/mailman/listinfo/moses-support
> > >>
> > >>
> > >> End of Moses-support Digest, Vol 60, Issue 46
> > >> *********************************************
> > >
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