Hi Hasan

If your phrase table is empty, that would explain why tuning didn't work. Something went wrong earlier in the process. Could you post your log file from train_model.perl,

cheers - Barry

On 02/11/16 10:45, Hasan Sait ARSLAN wrote:
Now currently I have a bigger problem. I have trained my data for 5 days, and the folder "train" is 39 G, but there is no any phrases saved on phrase table. It is annoying. What should I do now? I hope I won't need to rerun everything from the scratch

2016-11-02 12:26 GMT+02:00 Barry Haddow <[email protected] <mailto:[email protected]>>:

    Hi Hasan

    The error message should be written into filterphrases.err, inside
    your working directory,

    cheers - Barry


    On 02/11/16 10:02, Hasan Sait ARSLAN wrote:
    Hi Hieu,

    I did in the way, you want. Plus, I am sure the path and file
    names are correctly spelt.
     But still, I get the same error.

    2016-11-01 21:41 GMT+02:00 Hasan Sait ARSLAN
    <[email protected] <mailto:[email protected]>>:

        Thank you Hieu, I will do it, and give you feedback about it.

        Kind Regards,

        2016-11-01 21:37 GMT+02:00 Hieu Hoang <[email protected]
        <mailto:[email protected]>>:

            the command you execute looks ok. the problem is likely
            to be with your using tuning data.

            You should look at your tuning data, make sure you've
            spelt the path and filename correctly, use a very small
            subset (eg. start with 1 parallel sentence) and increase
            the number of sentences until you find the problem



            On 01/11/2016 12:30, Hasan Sait ARSLAN wrote:
            Hello,

            I have trained dataset for 5 days, and for 2-3 days I am
            dealing with the bug in tuning, but still couldn't solve
            the problem.

            I use the following command to run:

            */home/sait/mosesdecoder/scripts/training/mert-moses.pl
            <http://mert-moses.pl>
            /home/sait/Kairit/Task3/dataset_tur_en/dev.clean.tr
            <http://dev.clean.tr>
            /home/sait/Kairit/Task3/dataset_tur_en/dev.clean.en
            /home/sait/mosesdecoder/bin/moses
            /home/sait/Kairit/Task3/working_tr-en/train/model/moses.ini
            --working-dir /home/sait/Kairit/Task3/working_tr-en/mert
            --decoder-flags "--threads 32"

            *
            Then I get the following error:

            *Using SCRIPTS_ROOTDIR: /home/sait/mosesdecoder/scripts
            Assuming --mertdir=/home/sait/mosesdecoder/bin
            filtering the phrase tables... T nov    1 19:17:39 EET 2016
            exec:
            /home/sait/mosesdecoder/scripts/training/filter-model-given-input.pl
            <http://filter-model-given-input.pl> ./filtered
            /home/sait/Kairit/Task3/working_tr-en/train/model/moses.ini
            /home/sait/Kairit/Task3/dataset_tur_en/dev.clean.tr
            <http://dev.clean.tr>
            Executing:
            /home/sait/mosesdecoder/scripts/training/filter-model-given-input.pl
            <http://filter-model-given-input.pl> ./filtered
            /home/sait/Kairit/Task3/working_tr-en/train/model/moses.ini
            /home/sait/Kairit/Task3/dataset_tur_en/dev.clean.tr
            <http://dev.clean.tr> > filterphrases.out 2>
            filterphrases.err
            Exit code: 255
            ERROR: Failed to run
            
'/home/sait/mosesdecoder/scripts/training/filter-model-given-input.pl
            <http://filter-model-given-input.pl> ./filtered
            /home/sait/Kairit/Task3/working_tr-en/train/model/moses.ini
            /home/sait/Kairit/Task3/dataset_tur_en/dev.clean.tr
            <http://dev.clean.tr>'. at
            /home/sait/mosesdecoder/scripts/training/mert-moses.pl
            <http://mert-moses.pl> line 1748.

            *
            I have searched over the internet about the error, but
            unfortunately I couldn't find any beneficial solution.

            It is so annoying, and eats my time, please help me to
            solve my problem.

            Thanks,


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