Hi,
thank you guys! That was the mistake. I don't know how often I looked at my commands but somehow I could not see it.
Thanks a lot for your help!
Raphael


Am 19.11.2015 um 03:02 schrieb Philipp Koehn:
Hi,

if I read your file extension correctly, then
mosesdecoder/corpus/testset-small.en
is the English file, but you should provide a German file
as reference translation.

-phi

On Wed, Nov 18, 2015 at 7:45 PM, Raphael Hoeps <[email protected] <mailto:[email protected]>> wrote:

    yes, I checked that. My model was trained with "--f en --e de".
    Could there be any problem with my usage of the multi-bleu.perl
    script? Because I really think that my translation output is not
    that bad, that it deserves such a low score.
    I am calling:
    mosesdecoder/scripts/generic/multi-bleu.perl -lc
    mosesdecoder/corpus/testset-small.en <
    mosesdecoder/working/testset-small.translated

    But when I look at the files:
    less mosesdecoder/corpus/testset-small.en
    less mosesdecoder/working/testset-small.translated

    I see a German translation that is quite okay in my eyes with a
    lot of correctly translated sentences. Any more ideas? I think I'm
    going crazy.
    Thanks,
    Raphael



    Am 18.11.2015 um 19:38 schrieb Tom Hoar:
    I agree with Rico that you mixed up your languages. The most
    likely location is in your train-model.perl command line. The --e
    value must match the LM's language. So, double check that it
    included

    "--f EN --e DE"

    That's assuming your corpus file suffixes were EN & DE.


    Date: Wed, 18 Nov 2015 16:17:42 +0000
    From: Rico Sennrich <[email protected]>
    <mailto:[email protected]>
    Subject: Re: [Moses-support] baseline-system has very low BLEU-Score
    To: [email protected] <mailto:[email protected]>

    Hi Raphael,

    just to re-iterate: are you sure you used the correct (German)
    reference
    file to score your (German) translation output, and didn't
    mistakenly
    use the (English) input as reference?

    best wishes,
    Rico


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