Hi Ayah, the on-disk rule table works well for phrase-based and hierarchical phrase-based models, but not for GHKM models. Have you tried using the in-memory rule table?
Phil > On 6 Apr 2016, at 19:02, Ayah ElMaghraby <ayah.elmaghr...@gmail.com> wrote: > > Hello > I am trying to created a SMT using ghkm extraction but it is very slow during > translation it translated 53 sentences in 24 hrs using Ubuntu-64bit 14.04 & > 4GB Ram > I changed rule table to be on disk using executable createOnDiskPt. > Is there any thing I can do to speed it up a little bit. > I am currently using these options > --target-syntax -glue-grammar -max-phrase-length 5 -ghkm > --score-options="--GoodTuring" -external-bin-dir ~/mosesdecoder/tools/mgizapp > -mgiza -mgiza-cpus 2 -snt2cooc snt2cooc.pl -parallel -sort-batch-size 253 > -sort-compress gzip --giza-option m1=5,m2=2,mh=0,m3=3,m4=3 > > > Regards, > Ayah ElMaghraby > > _______________________________________________ > Moses-support mailing list > Moses-support@mit.edu <mailto:Moses-support@mit.edu> > http://mailman.mit.edu/mailman/listinfo/moses-support > <http://mailman.mit.edu/mailman/listinfo/moses-support>
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