[Moses-support] baseline model run with same setting, with same database twice gives different translation output

2020-03-29 Thread rmogla
Hi,
I ran Moses baseline method twice with the same settings and with the same
data set, but final translation file generated in both the cases is
different.

If i am doing something wrong please suggest?
Thanks and regards
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[Moses-support] How to use trained models on different system

2019-11-06 Thread rmogla
1. My existing system is also facing some problem so I need to reinstall
Ubuntu on it. Please suggest after installing Ubuntu, to install Moses
should I clone Moses from  https://github.com/moses-smt/mosesdecoder.git
Or there is some other repository.

2. Will I be able to use previously trained models (trained earlier with
some parallel data )by simply copy pasting "working" directory after
installing Moses again on my system.

Thanks
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Re: [Moses-support] Moses-support Digest, Vol 153, Issue 4

2019-07-14 Thread rmogla
Thanks a lot,

Please suggest if everything is same in both runs why there is a difference
in no. of files created in "mert-work" directory.

I am also getting extract.err files in my mert-work directory and
extract.out files are blank.

this is what i get in extract.err file:

Binary write mode is NOT selected
Scorer type: BLEU
name: case value: true
Loading reference from
/home/radha/Desktop/DBsets/set5/method1/corpusEH/tune.en-hi.true.hi
..Data::m_score_type BLEU
Data::Scorer type from Scorer: BLEU
loading nbest from run7.best100.out.gz
Loaded N-best lists : [Wall 0.158054 CPU 0.156] seconds.
Binary write mode is NOT selected
saving the array into run7.features.dat
saving the array into run7.scores.dat
Stopping... : [Wall 0.38641 CPU 0.388] seconds.

Also please suggest how to overcome this error and the search error.

I have also checked that when I was training moses for the *wmt13 *database
as given in manual(*baseline method*) then also I got these* .err *files
and *extract.out *was a blank file.

Please suggest if I am doing something wrong.

Thanking in advance
Best Regards

On Sat, Jul 6, 2019 at 9:33 PM  wrote:

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>1. Re: different numbers of runs of mert for samedatabase
>   (Philipp Koehn)
>
>
> --
>
> Message: 1
> Date: Fri, 5 Jul 2019 14:45:29 -0400
> From: Philipp Koehn 
> Subject: Re: [Moses-support] different numbers of runs of mert for
> samedatabase
> To: rmogla 
> Cc: "moses-support@mit.edu" 
> Message-ID:
>  qxaktez7q3...@mail.gmail.com>
> Content-Type: text/plain; charset="utf-8"
>
> Hi,
>
> these numbers are computed of the merged n-best lists, so the actual BLEU
> score my differ due to search error.
>
> -phi
>
> On Tue, Jul 2, 2019 at 1:46 PM rmogla  wrote:
>
> > hello,
> > I am training moses , I ran it twice with the same database using the
> > baseline system but both the time mert.out file show different numbers of
> > run.
> > As in mert.out file:
> >
> > (8) BEST at 8: 0.118606 0.00894043 0.0616433 0.0270803 -0.00458744
> > 0.0636065 0.0394991 0.121296 -0.0393199 -0.349773 0.0781373 0.00882911
> > 0.0719328 0.00674891 => 0.54342 at Fri...
> >
> > (7) BEST at 7: 0.042261 0.0543911 0.0644467 0.0409684 -0.114557 0.0567117
> > 0.0807067 0.099067 -0.0280285 -0.277286 0.0593325 0.0104217 0.0663609
> > -0.00546069 => 0.546516 at Tue...
> >
> > though the BLEU score of finally trained moses varies by .01,
> >
> > Please suggest if I am doing something wrong or is it normal to have
> > various number of mert runs for the same database.
> >
> > Thanking in advance.
> > Best Regards
> >
> >
> >
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> End of Moses-support Digest, Vol 153, Issue 4
> *
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[Moses-support] different numbers of runs of mert for same database

2019-07-02 Thread rmogla
hello,
I am training moses , I ran it twice with the same database using the
baseline system but both the time mert.out file show different numbers of
run.
As in mert.out file:

(8) BEST at 8: 0.118606 0.00894043 0.0616433 0.0270803 -0.00458744
0.0636065 0.0394991 0.121296 -0.0393199 -0.349773 0.0781373 0.00882911
0.0719328 0.00674891 => 0.54342 at Fri...

(7) BEST at 7: 0.042261 0.0543911 0.0644467 0.0409684 -0.114557 0.0567117
0.0807067 0.099067 -0.0280285 -0.277286 0.0593325 0.0104217 0.0663609
-0.00546069 => 0.546516 at Tue...

though the BLEU score of finally trained moses varies by .01,

Please suggest if I am doing something wrong or is it normal to have
various number of mert runs for the same database.

Thanking in advance.
Best Regards
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[Moses-support] Error in language model training.

2017-05-15 Thread rmogla
Hello,

While using KenLM for language model training for Hindi I got this error.


mosesdecoder/lm/builder/adjust_counts.cc:61 in void
lm::builder::{anonymous}::StatCollector::CalculateDiscounts(const
lm::builder::DiscountConfig&) threw BadDiscountException because
`discounts_[i].amount[j] < 0.0 || discounts_[i].amount[j] > j'.

ERROR: 1-gram discount out of range for adjusted count 2: -0.0625
Aborted (core dumped)


Please suggest how to remove this error.

Thanking in advance.
Best Regards
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[Moses-support] query regarding system configuration and adding other methods to moses

2016-01-29 Thread rmogla
Hello,
I am a new user of moses, and trying to install moses and giza++.

1. Please suggest what is the minimum system configuration(RAM, memory
etc.) to use moses.

2.Can we add another non statistical alignment model instead of giza++ to
moses.

3. As per my understanding we can train the system on the basis of varying
the phrase length and order of language model, is my understanding correct.

Apart from these two things on what basis we can modify moses or is it
possible and feasible to add some new methods probably a non statistical
algorithm to moses? If yes in which language the codes should be written?

Thanking in advance.
Best Regards
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[Moses-support] Query for moses

2016-01-17 Thread rmogla
Hi,
I am a new user of moses and using it for the first time. Ihave installed
moses and giza++ on a 32 bit machine with ubuntu 15.04 , but while doing
language model training and running the command

~/mosesdecoder/bin/lmplz -o 3 <~/corpus/news-commentary-v8.fr-en.true.en >
news-commentary-v8.fr-en.arpa.en
 getting below mentioned output "Aborted (core dumped)."

=== 1/5 Counting and sorting n-grams ===
Reading /home/radha/corpus/news-commentary-v8.fr-en.true.en
5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100
tcmalloc: large alloc 2180882432 bytes == 0x35312000 @

Unigram tokens 4066699 types 62719
=== 2/5 Calculating and sorting adjusted counts ===
Chain sizes: 1:752628 2:880841812 3:1651578397
tcmalloc: large alloc 1651580928 bytes == 0x35312000 @
in malloc
*Aborted (core dumped)*

I am not able to understand the reason for the error .Please suggest how to
proceed further.

Hoping for a quick reply and Thanking in advance

Best Regards
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