Hello,
Can you please help me with the following error?
When I run the Tuning process with the following command ((nohup nice
~/mosesdecoder/scripts/training/mert-moses.pl ~/corpus/news-test2008.true.fr
~/corpus/news-test2008.true.en ~/mosesdecoder/bin/moses train/model/moses.ini
2016 EAMT Best Thesis Award
The European Association for Machine Translation (EAMT, http://www.eamt.org)
is an organization that serves the growing community of people interested
in MT and translation tools, including users, developers, and researchers
of this increasingly viable technology.
The
This command :
nohup nice ~/mosesdecoder/scripts/training/train-model.perl --target-syntax
-root-dir train -corpus ~/Documents/trainData/mosesTree -f en -e ar
-hierarchical -glue-grammar -max-phrase-length 5 --score-options="--GoodTuring"
-lm 0:3:/home/ayah/Documents/lm/truecase.en-ar.blm.ar:8
Hi Moses Folks,
This is not related to a support request, but Taro Watanabe and I wrote a
Computational Linguistics survey on optimization (parameter tuning) methods
for machine translation:
http://www.phontron.com/paper/neubig16cl.pdf
If you're interested in learning in detail about the
What command(s) are you running?
On Sat, Mar 5, 2016 at 10:06 AM, Ayah ElMaghraby
wrote:
> When training my smt, the nohup.out file grows drastically reaching 20G
> because it is full with these errors:
>
>
>
> Use of uninitialized value $ei in array element at
>
Excellent! Thanks, Graham.
On Sat, Mar 5, 2016 at 9:36 AM, Graham Neubig wrote:
> Hi Moses Folks,
>
> This is not related to a support request, but Taro Watanabe and I wrote a
> Computational Linguistics survey on optimization (parameter tuning) methods
> for machine
When training my smt, the nohup.out file grows drastically reaching 20G because
it is full with these errors:
Use of uninitialized value $ei in array element at
/home/ayah/mosesdecoder/scripts/training/LexicalTranslationModel.pm line 117,
line 5077.
Use of uninitialized value $ei in array
Thanks Phil.
I figured out for the lowercase thing thanks.
For the short n-grams this is not exactly what I meant.
Any 1-gram sentence will give either 1 when exact match or 0.8409 when
different match
Any 2-gram sentence will give 1 when exact match or 0.7598 when 1 word match
My point