Hello Ergun,
we've had the 'nan' issue reported before ( see
https://moses-support.mit.narkive.com/hs8LwsnT/blingual-neural-lm-log-likelihood-nan
https://moses-support.mit.narkive.com/fklzlBiW/bilingual-lm-nan-nan-nan ).
You can follow Nick's recommendation of lowering the learning rate, or
try
arch statement (up to two pages)
* a CV, including a list of publications
* two references (name, position and e-mail address)
The application deadline is *31 March 2019*.
For informal inquiries, please also contact sennrich AT cl.uzh.ch
<mailto:sennrich%20AT%20cl.uzh.ch>.
--
Rico Sennri
(though we
may be able to consider late applications). Please direct inquiries to
the PhD admissions team atcdt-nlp-admissi...@inf.ed.ac.uk.
--
Rico Sennrich
School of Informatics
University of Edinburgh
10 Crichton Street
Edinburgh, EH8 9AB, United Kingdom
http://homepages.inf.ed.ac.uk/rsennric
ls
We will start selecting candidates in December 2018, so we recommend
applying by 30/11/2018.
Please contact Barry Haddow (bhaddow at inf.ed.ac.uk) or Rico Sennrich
(rico.sennrich at inf.ed.ac.uk) for more information.
The University of Edinburgh is a charitable body, registered in
Sc
Hello Claudia,
we got this to work by compiling NPLM against eigen-magma, which has GPU
support: https://github.com/bravegag/eigen-magma
I'm afraid eigen-magma isn't being maintained though, so I don't know if
this still works.
best wishes,
Rico
On 26/07/18 18:59, Claudia Matos Veliz
Hello Adeeb,
http://demo.statmt.org is now based on neural machine translation
technology, and does not yet support translating a webpage.
The moses demo, which still has support for webpage translation, is
currently still available at http://demo2.statmt.org/
However, this demo may be
PhD Studentships in Computational Linguistics, Speech Technology and
Cognitive Science
The Institute for Language, Cognition and Computation (ILCC) at the
University of Edinburgh invites applications for three-year PhD
studentships starting in September 2018.
ILCC is dedicated to the pursuit of
PHD STUDENTSHIPS IN COMPUTATIONAL LINGUISTICS, SPEECH TECHNOLOGY AND COGNITIVE
SCIENCE
Institute for Language, Cognition and Computation
School of Informatics
University of Edinburgh
The Institute for Language, Cognition and Computation (ILCC) at the University
of Edinburgh invites
Hello Mukund,
the phrase table supports an arbitrary number of features - if you have
a way to count the number of MWEs in the source phrase (this is
language-specific and not part of Moses), you can just modify the phrase
table to add this count as an additional feature on each line. You can
Hi Roee,
I know people have written scripts like this in the past, but I don't
know of any that is public.
I also have a variant of multi-bleu.perl that takes in plain text, but
re-uses the internal tokenization of mteval-v13a.pl. As a consequence,
you can pass it untokenized references and
in
On Tue, Apr 25, 2017 at 2:25 PM, Rico Sennrich <rico.sennr...@gmx.ch
<mailto:rico.sennr...@gmx.ch>> wrote:
Hello Xin,
you should compile moses with the option "--with-nplm=".
best wishes,
Rico
On 25/04/17 13:14, dai xin wrote:
Hi all,
I did
Hello Xin,
you should compile moses with the option "--with-nplm=NPLM toolkit>".
best wishes,
Rico
On 25/04/17 13:14, dai xin wrote:
Hi all,
I did a training with RD and NP language model. When I tried to decode
with ~/mosesdecoder/bin/moses -f /path/to/moses.ini
the error message came
parser. But I have no idea why there is no
file in this directory.
RDLM:train-custom-syntax crashed.
Is the problem could be lack of any libraries, or the version of Moses?
Thanks in advance and hoping for reply.
Best regards,
Xin
On Mon, Apr 24, 2017 at 9:53 AM, Rico Sennrich <rico.se
Hello Xin,
what is the error message for the filtering step? Look at the STDERR and
STDOUT files that are being produced in the step to see if there's an
error message in there.
best wishes,
Rico
On 20/04/17 12:41, dai xin wrote:
Hi,
Did anyone have experience of Edinburgh English-German
r
To:"moses-support@mit.edu" <moses-support@mit.edu>
Thank you, Rico! Looks promising.
I found this one on Python's Pypi repository:https://pypi.python.org/pypi/SoMaJo/1.1.2
Does anyone have any experience with it?
Tom
On 8/25/2016 11:01 PM,moses-support-requ...@mit.
Hello Hakimeh,
the branch https://github.com/moses-smt/mosesdecoder/tree/nmt-hybrid
supports NMT (which is basically an RNN conditioned on the source text)
as a feature function in Moses. It is described in this paper:
@inproceedings{junczysdowmunt-dwojak-sennrich:2016:WMT,
address =
Hi Nat,
The reason for averaging at every time step (rather than doing k-best
list reranking on the sentence level) is the same reason why we
integrate new feature functions in Moses instead of just reranking the
k-best output: you make more search errors if you do your initial search
with a
Hello Nat,
for NMT ensembles, you just average the probability distribution of
different models at each time step before selecting the next hypothesis
(or hypotheses in beam search). If you're familiar with Moses, this is
similar to what happens when we combine different feature functions in
Hi Tom,
I've been using this one for the Edinburgh WMT submission (EN-DE
syntax-based) in the last 3 years:
https://github.com/rsennrich/wmt2014-scripts/blob/master/hybrid_compound_splitter.py
It implements the hybrid (frequency-based and FST-based) algorithm by
Fritzinger & Fraser 2010:
Hi Floran,
if you have one file with words, and one file with POS, you can combine
the two with the combine_factors.pl script in mosesdecoder/scripts/training.
best wishes,
Rico
On 18.07.2016 10:44, Gmehlin Floran wrote:
Hi,
I would like to try a Factored Training on my corpus. I see that
04:42, Madori Ikeda wrote:
> Rico Sennrich <rico.sennrich@...> writes:
>
>>
>> Hello Madori,
>>the query command is specific to n-gram LMs in the ARPA format (or
>>a compiled format of KenLM).
>>Here is how you can me
Hello Madori,
the query command is specific to n-gram LMs in the ARPA format (or a
compiled format of KenLM).
Here is how you can measure log probabilities with RDLM (or NPLM in
general):
1. extract the n-grams (for NPLM) or syntactic n-grams (for RDLM) from
the test set, with the same
Hi Mathias,
you're passing a boolean as the value of 'word-align', but apparently,
the current version of moses server requires the value to be a string. I
don't know why this was changed...
best wishes,
Rico
On 22.03.2016 09:07, Mathias Müller wrote:
Dear list
Since I got recent
Hi Mike,
here's a link to the tool Marcin mentioned:
https://github.com/rsennrich/subword-nmt
I haven't tried it on phrase-based MT myself, but feel free to give it a
try.
You could also try other unsupervised morpheme segmenters like
morfessor: https://github.com/aalto-speech/morfessor
Hi list, Marcin,
I've added a regtest that covers multimodel with compact phrase tables
(phrase.multimodel-compactptable), and I've identified the offending
commit with git bisect to be commit
a804894378b2695bde78bdbff10e9d0f0afb7cc7.
@Marcin: do you have an idea what could have caused the
ore of this test set and the translation
> of the test set with multi-bleu.perl I get the poor result of 3.76.
>
> Do you have any tips on how to find my mistake?
>
> Thanks a lot,
> Raphael
>
>
>
>
>
>
> Am 18.11.2015 um 14:56 schrieb Rico Sennrich:
>> Hell
Hello Raphael,
I suggest that you check if you mixed up the languages somewhere, and
check if your translation output is actually English.
3.76 BLEU is possible to achieve without translation (because names and
some function words are the same between English and German), and it's
possible
Hi Vincent,
here's some results on WMT data (not just Europarl):
+0.6 BLEU for English->German
(https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/download/510/120)
+/-0 for French->English, +0.7 for English->French,
+0.4 for Finnish->English, +0.4 for English->Finnish
Hello Loic,
mgiza (https://github.com/moses-smt/mgiza) supports models dumps, and
you can have a look at the script 'force-align-moses.sh' to see how to
apply an existing model to new text.
best wishes,
Rico
On 07/10/15 16:38, DUGAST, LOIC wrote:
Hello
Would any of you know which of the
wish to know, why score is
higher for dummy 5-KENLM than 3-KENLM.
On Mon, Oct 5, 2015 at 7:07 PM, Rico Sennrich <rico.sennr...@gmx.ch
<mailto:rico.sennr...@gmx.ch>> wrote:
Hi Sanjanasri,
1) your corpus is very small, and you may have to use more
iterations of N
, Sanjanashree Palanivel
<sanjanash...@gmail.com <mailto:sanjanash...@gmail.com>> wrote:
Dear Rico,
Thanks a lot for your excellent guidance.
On Sat, Sep 19, 2015 at 9:10 PM, Rico Sennrich
<rico.sennr...@gmx.ch <mailto:rico.sennr...@gmx.ch>
Hi all,
Small correction: --dropout isn't on Github (yet). I never got gains from it,
and thus didn't commit. I'll have to double-check my implementation.
--input_dropout also didn't give me any gains, but could make training more
stable (helping against nan), and is helpful if you want to get
<sanjanash...@gmail.com <mailto:sanjanash...@gmail.com>> wrote:
Dear Rico,
Thanks a lot. Will do the necessary changes
On Thu, Sep 17, 2015 at 1:54 PM, Rico Sennrich
<rico.sennr...@gmx.ch <mailto:rico.sennr...@gmx.ch>> wrote:
Hi San
del
LM1= 0.5
Then i did testing. and end up with the error
On Tue, Sep 15, 2015 at 8:43 PM, Rico Sennrich <rico.sennr...@gmx.ch
<mailto:rico.sennr...@gmx.ch>> wrote:
Hi Sanjanasri,
this error occurs when Moses was compiled without the option
'--with-n
alanivel
<sanjanash...@gmail.com <mailto:sanjanash...@gmail.com>> wrote:
Thank you for your earnest response. I will update moses and I
will try
On Tue, Sep 15, 2015 at 4:22 PM, Rico Sennrich
<rico.sennr...@gmx.ch <mailto:rico.sennr...@gmx.ch>>
Hello Sanjanasri,
this looks like a version mismatch between Moses and NPLM. Specifically,
you're using an older Moses commit that is only compatible with nplm 0.2
(or specifically, Kenneth's fork at https://github.com/kpu/nplm ).
If you use the latest Moses version from
Hello Raj,
Usually, nplm is used in addition to a back-off LM for best results.
That being said, your results indicate that nplm is performing poorly.
If you have little training data, a smaller vocabulary size and more
training epochs may be appropriate. I would advise to provide a
Hello Shyam,
this is probably not a bug in the code (this is a check in
std::ostream), but a problem with the location you're trying to write
to. Can you double-check if your path to the n-best-list is correct, and
that you can write to it?
best wishes,
Rico
On 01.09.2015 00:36, Shyam
Hi Vincent,
this section describes some domain adaptation methods that are
implemented in Moses: http://www.statmt.org/moses/?n=Advanced.Domain
It is incomplete (focusing on parallel data and the translation model),
and does not recommend best practices.
In general, my recommendation is to
Hi Fabienne,
there are three different implementations for GHKM extraction
p(LHS,RHS_t|RHS_s,target_nonterminals) (default)
p(RHS_t|RHS_s,LHS) (-alt-direct-rule-score-1)
p(LHS,RHS_t|RHS_s) (-alt-direct-rule-score-2)
by default, your rules 1 and 2 are not competing, because normalization
is
Hi Vincent,
the KIT paper reports scores on newstest2010 (and newstest2009) in their
system description paper, while the matrix shows scores on newstest2011.
The UEDIN WMT14 paper reports scores on newstest2012, newstest2013, and
newstest2014 (it may admittedly be hard to see which is which:
Hello Fatma,
Moses has been used for character-level translation, but the alignment
is not done by moses itself, but by external tools like (M)GIZA++ or
fast-align.
Jörg Tiedemann has some suggestions on how to represent your text to get
good character alignments with GIZA++:
Hello Jian,
NPLM reports the log-likelihood of the whole training set, and the
number is plausible.
assuming you have a minibatch size of 1000, your training set perplexity
is exp(1.38122e+08/52853/1000)=13.64
you probably want to measure perplexity on a held-out development set
though,
Hello Manuela,
have you installed all the dependencies listed here for Cygwin
installation? http://www.statmt.org/moses/?n=Development.GetStarted
it seems like you're missing a system-wide installation of boost.
mosesdecoder/bjam currently isn't set-up to use the boost-jam of a local
boost
Researcher
New York University, Abu Dhabi
http://www.hoang.co.uk/hieu
On 8 July 2015 at 13:49, Rico Sennrich rico.sennr...@gmx.ch
mailto:rico.sennr...@gmx.ch wrote:
Hi Hieu,
kBleuNgramOrder=4 is hard-coded in mosesdecoder/mert/BleuScorer.h
. Dunno if you wanna expose the option
Hi Hieu,
kBleuNgramOrder=4 is hard-coded in mosesdecoder/mert/BleuScorer.h .
Dunno if you wanna expose the option to the command line, or just hack
it locally.
best wishes,
Rico
On 08.07.2015 10:19, Hieu Hoang wrote:
does anyone know how I can tune with BLEU-1 or 2 instead of the
default
Hello Raj,
can you please clarify if you tried to train a monolingual LM
(NeuralLM), a bilingual LM (BilingualNPLM), or both? Our previous
experiences with BilingualNPLM are mixed, and we observed improvements
for some tasks and language pairs, but not for others. See for instance:
.
What could have gone wrong during the training?
Regards.
On Mon, Jul 6, 2015 at 10:53 PM, Rico Sennrich rico.sennr...@gmx.ch
mailto:rico.sennr...@gmx.ch wrote:
Hello Raj,
can you please clarify if you tried to train a monolingual LM
(NeuralLM), a bilingual LM (BilingualNPLM
Hi Guchun.
thanks - fixed.
best wishes,
Rico
On 25.06.2015 16:05, Guchun Zhang wrote:
Hi there,
In Section 5.13.7 NPLM on Page 267, the option --words_file passed
to prepareNeuralLM expects an existing file containing the words to be
added in the vocabulary. Considering the line right
On 19/06/15 19:21, Marcin Junczys-Dowmunt wrote:
So, if anything, Moses is just a very flexible text-rewriting tool.
Tuning (and data) turns into a translator, GEC tool, POS-tagger,
Chunker, Semantic Tagger etc.
that's a good point, and the basis of some criticism that can be
levelled at the
Hi Amir,
There is currently no method that returns this, but BilingualLM
(moses/LM/BilingualLM) calculates and uses the absolute source position
of each terminal - search for absolute_source_position.
best wishes,
Rico
On 20/06/15 14:35, amir haghighi wrote:
Thanks Matthias
you,
Fatma El-Zahraa El -Taher
Teaching Assistant at Computer System department
Faculty of Engineering, Azhar University
Email : fatmaelta...@gmail.com mailto:fatmaelta...@gmail.com
mobile: +201141600434
On Fri, Jun 19, 2015 at 3:33 PM, Rico Sennrich rico.sennr...@gmx.ch
mailto:rico.sennr
Hi Fatma,
2800 words is a very small dataset - typical systems are trained on
millions of sentence pairs. It's possible that your word is in the
training data, but not in the phrase table because it wasn't correctly
aligned. Gregor's suggestion is also worth investigating. You should
fatma elzahraa Eltaher fatmaeltaher@... writes:
Dears,
I have a problem in translation. After building Moses model , I try to
test it by a word but the output was the same word.
I did not know where is the problem? could you help me?
kindly find attached pic.
thank you,
hello
Marcin Junczys-Dowmunt junczys@... writes:
Hi Rico,
since you are at it, some pointers to the more advanced pruning
techniques that do perform better, please :)
On 19.06.2015 19:25, Rico Sennrich wrote:
[sorry for the garbled message before]
you are right. The idea is pretty
Read, James C jcread@... writes:
So, all I did was filter out the less likely phrase pairs and the BLEU
score shot up. Was that such a stroke of genius? Was that not blindingly
obvious?
you are right. The idea is pretty obvious. It roughly corresponds to
'Histogram pruning' in this paper:
[sorry for the garbled message before]
you are right. The idea is pretty obvious. It roughly corresponds to
'Histogram pruning' in this paper:
Zens, R., Stanton, D., Xu, P. (2012). A Systematic Comparison of Phrase
Table Pruning Technique. In Proceedings of the 2012 Joint Conference on
-model.perl line 479
On Fri, Jun 19, 2015 at 2:17 PM, Rico Sennrich rico.sennr...@gmx.ch
mailto:rico.sennr...@gmx.ch wrote:
Lane Schwartz dowobeha@... writes:
Hi,
I've looked through experiment.meta and the samples, and I
haven't been
able to figure this out. I
Lane Schwartz dowobeha@... writes:
Hi,
I've looked through experiment.meta and the samples, and I haven't been
able to figure this out. I know this is simple, but I'm missing the syntax.
How can I tell EMS to use an existing binarized LM that was trained
previously?
Thanks,
Lane
Read, James C jcread@... writes:
I have been unable to find a logical explanation for this behaviour other
than to conclude that there must be some kind of bug in Moses which causes a
TM only run of Moses to perform poorly in finding the most likely
translations according to the TM when
there
Read, James C jcread@... writes:
Actually the approximation I expect to be:
p(e|f)=p(f|e)
Why would you expect this to give poor results if the TM is well trained?
Surely the results of my filtering
experiments provve otherwise.
James
I recommend you read the following:
Hi list,
some code in mosesdecoder (oxlm, c++tokenizer) already requires c++11. To
let people benefit from the usability and functionality improvements of
c++11, it would be beneficial to allow the use of c++11 features in all of
the code.
before people start making big changes to the codebase,
Hieu Hoang hieuhoang@... writes:
Hi All
Does anyone know why I get this error? # $MOSES_DIR/bin/kbmira
--dense-init run3.dense --sparse-init run3.sparse-weights --ffile
run1.features.dat --ffile run2.features.dat --ffile run3.features.dat
--scfile run1.scores.dat --scfile
constituted by 574 segments).
Vito M.
2015-05-20 14:38 GMT+02:00 Rico Sennrich rico.sennr...@gmx.ch
mailto:rico.sennr...@gmx.ch:
Matthias Huck mhuck@... writes:
Hi Vito,
tuneable=false should work.
Just my usual caveat:
if you use 'tuneable=false', the feature
Matthias Huck mhuck@... writes:
Hi Vito,
tuneable=false should work.
Just my usual caveat:
if you use 'tuneable=false', the feature score(s) won't be
reported to the n-best list, and MERT/MIRA/PRO won't even know that the
feature exists. This is appropriate in some cases (keeping a
Lane Schwartz dowobeha@... writes:
I have a number of distinct monolingual corpora. I've been training them
as separate LMs. I now want to run a variant where they are all concatenated
together, and then trained as a single LM. The EMS walkthrough says this
should be possible
Lane Schwartz dowobeha@... writes:
I have a number of distinct monolingual corpora. I've been training them
as separate LMs. I now want to run a variant where they are all concatenated
together, and then trained as a single LM. The EMS walkthrough says this
should be possible
Lane Schwartz dowobeha@... writes:
I have a number of distinct monolingual corpora. I've been training them
as separate LMs. I now want to run a variant where they are all concatenated
together, and then trained as a single LM. The EMS walkthrough says this
should be possible
On 28/03/15 13:26, Abdelfetah Boumerdas wrote:
Hi Rico,
Thank you so much for your help, the deescape-special-chers.perl code
did the job perfectly and removed all the sepcial xml chars.
Now i have another question, i followed the moses manual and trained
moses on the news commentary corpus
Abdelfetah Boumerdas aa_boumerdas@... writes:
Hi All,
i'm trying to build a translation model using moses, and to do that i'm
using 2 corpora (europarl and the news commentary corpus provided in the
manual) but when i reached the corpus preparation step i noticed the
following problem:
if it fit or not?
thanks
On Friday, March 6, 2015 1:12 PM, Rico Sennrich rico.sennr...@gmx.ch
wrote:
mohamed hasanien mhmd_hasnen@... mailto:mhmd_hasnen@... writes:
HI all,
Line 4739: Collecting options took 0.562 seconds at
moses/Manager.cpp:117
sh: line 1: 13550 Killed /mhmd
mohamed hasanien mhmd_hasnen@... writes:
HI all,
Line 4739: Collecting options took 0.562 seconds at moses/Manager.cpp:117
sh: line 1: 13550 Killed /mhmd/mosesdecoder/bin/moses
-config filtered/moses.ini -weight-overwrite 'PhrasePenalty0= 0.043478
WordPenalty0= -0.217391
Massinissa Ahmim massinissa.ahmim@... writes:
Dear all,
I'm trying to train a syntactic model english to german. I did the
annotation on the target part using bitpar and ran :nohup
/mosesdecoder/scripts/training/train-model.perl --glue-grammar
--max-phrase-length 10
Matthias Huck mhuck@... writes:
Hi,
Is there any existing functionality to set only specific score
components of a feature function as untuneable?
Hi Matthias,
There is the option --activate-features in mert-moses.pl, but I believe it
only works for MERT (if at all), and it also had some
Hieu Hoang hieuhoang@... writes:
you mean the github version of mgiza?
https://github.com/moses-smt/mgiza
Compared to what old version from where?
I need to know what u ran and the corpus you ran. I'm not an expert
on mgiza so my debugging is as good as yours in
Xiaoqiang Feng feng.x.q.2006@... writes:
Hi,
nplm is one toolkit of neural probabilistic language model. This toolkit
can be used in Moses for language model and bilingual LM(neural network
joint model, ACL 2014). These two parts have been updated in github
mosesdecoder.
Hi,
basic usage
Marcin Junczys-Dowmunt junczys@... writes:
will try to have a look what is going on there (I dread the code), but if
anyone has some ideas, the same experience or wants to help that would be
most welcome. It seems Model 1 is fine, and speed improves with a greater
number of threads, but the
Steven Huang d98922047@... writes:
Hi,
I am trying to train an English to Chinese tree-to-tree model with
manually generated corpus. The translation is unacceptable. It seems that
the model doen't know reordering at all. So I look into the rule-table,
there is no useful rule in it (see the
Fatemeh Eskandari fatemeh.eskandari.69@... writes:
I need to have list of oov words in text file, is there any way to get
them in moses?
Hi Fatemeh,
the moses option '-output-unknowns filename' might be what you want.
It's also possible to get the OOV words without translating the text;
Steven Huang d98922047@... writes:
It seems that the XML is not correctly paresed and is taken as plain text.
Is there anything wrong with my training configuration or training corpus?
Thanks a lot.
Hi Steven,
The Moses XML format isn't pure and still cares about white space. Each
sentence
Li Xiang lixiang.ict@... writes:
I compile Moses with tcmalloc. How can I test whether tcmalloc is used and
evaluate the performance ?
there's probably many ways, but here's three:
at compile time, you will see the following message if tcmalloc is not enabled:
Tip: install tcmalloc for
Steven Huang d98922047@... writes:
The question is:
1. Can I use all the 3 factors when training tree-based model? If yes, how
the parallel corpus should be like? The XML format shown in the MOSES
tutorial seems not able to accept factors except surface.
I've successfully tested a toy
Asad A.Malik asad_12204@... writes:
I currently wanted to develop String to Tree SMT, I've successfully
developed Phrase Based SMT using MOSES for Urdu (source) and English
(target). Now I wanted to developed the String to Tree SMT for these two
languages. I am still confused that how will I
koormoosh koormoosh@... writes:
and then I query via:./ngram −lm text.arpa −ppl query.txt
Hi Kormoosh,
not sure if that's the only problem, but ngram does not automatically use
the order of the ARPA file, but defaults to 3.
./ngram -order 5 −lm text.arpa −ppl query.txt
should get you closer
oh, you're also using different smoothing, and possibly different
handling of unknown words.
lmplz defaults to SRILM's|| '-interpolate -kndiscount -unk -gt3min 1
-gt4min 1 -gt5min 1'
On 08/10/14 10:05, koormoosh wrote:
Thanks. Now it's 15 score closer to the KenLM, but still the
difference
Hi list,
I swapped the score and alignment column of the phrase table halves in
commit 01bc3c1. The format of the final phrase table is not affected. If you
know of any side effects (such as downstream software that relies on the
column order in the phrase table halves), please complain here.
On 26.02.2014 07:24, moses-support-requ...@mit.edu wrote:
Hi Hieu, Rico,
this does not seem to be an issue with the ini-file. It actually works
as well with stand-alone moses. The issue seems to be the mert-moses.pl
script which switches off features that are not returned by the decoder
Marcin Junczys-Dowmunt junczys@... writes:
And with tuneable=false it seems the features are being ignored during
decoding, I understand this should not be happening. I get much worse
translation results with an ini-file that has tuneable=false for all
features than with the same ini
Marcin Junczys-Dowmunt junczys@... writes:
Hi,
it seems --activate-features=STRING is not working in mert-moses.perl.
The script prints a message that the ignored features are not being
used, but then optimizes them anyway. I can see that the enabled
information in the feature data
Leila Tavakoli leila.tavakoliii@... writes:
Hi,
I need to tune my English-Persian development set, and i use this command:
root at
ubuntu:/home/msho/Desktop/Shafagh/moses-default/scripts/training#
./mert-moses.pl /mnt/hgfs/H/dev/en/en.txt /mnt/hgfs/H/dev/ref/
Marion Weller wellermn@... writes:
To my understanding, the target-side non-terminals are copied to the
source-side string for technical reasons only in a string-to-tree system:
shouldn't then source-side strings as in the example
above be counted as one string (according to your [X]) instead
On 15.01.2014 23:23, Jie Jiang wrote:
Sorry Rico, my bad, I didn't turn on that switch. Now it compiled.
However, c++11 was not specified in Jamroot, how did your compiler
have that flag on?
I added the switch -std=c++0x to Jamroot, which is synonymous with
-std=c++11 for gcc (see commit
Marcin Junczys-Dowmunt junczys@... writes:
Revision d2d508184e35909aa5da901b81bb70f10f7794c7 breaks my compact
reordering model, but at runtime and only if you do a clean build
without any build artifacts from earlier compilations. It segfaults
during loading in a weird low-level place.
Rico Sennrich rico.sennrich@... writes:
I just pushed a commit that uses a C++11 feature (initalizer list). It
should work with compilers that are no older than 5 years or so (gcc = 4.4).
I reverted the commits again; there were issues with gcc 4.6, and
apparently some different problems
On 15.01.2014 16:58, Jie Jiang wrote:
Hi Roco:
I think in the future it would be better to wrap up the c11 code with
macros like:
#if __cplusplus = 201103L
//c11 code here
#
//old code here
#endif
or else it will fail others who are not using a compiler with c11
Hi list,
I just pushed a commit that uses a C++11 feature (initalizer list). It
should work with compilers that are no older than 5 years or so (gcc = 4.4).
If you have trouble compiling it (because you're using an older gcc version
or another compiler), please speak up. This is basically a test
is Ubuntu 12.04.2 LTS
Best regards!
25.12.2013, 19:07, Rico Sennrich rico.sennr...@gmx.ch:
I can't immediately see anything wrong with your config. Can you tell me
which version (git commit) of Moses you're using, and if there is an
error message on the side of the moses server?
It's
Калинин Александр verbalab@... writes:
Hi, everyone!
I have a problem with weighting two translation models using
client_multimodel.py. When I function like
that (with no weights):
translate(['i have a dream'],server)
it's ok - Moses responses me with translation via xmlrpc.
But
Adding/removing models during decoding is not currently supported. The
code for loading feature functions (including translation models) has
recently been refactored, and I don't know how easy it would be to add
such a functionality in this new framework.
On 04.12.2013 18:00, Калинин Александр
Tom Hoar tahoar@... writes:
Hi Hieu,
A while back, I contributed a Python example client for mosesserver
but I don't see it in the repository. I attached it again here for
inclusion with the original Java example client.
Tom
Hi Tom,
there's an example client in
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