Hi,
I have a few questions about tuning weights.
a) On statmt website it says:
Good values for the weights for phrase translation table
(|weight-t|, short |tm|), language model (|weight-l|, short |lm|),
and reordering model (|weight-d|, short |d|) are 0.1-1, good values
for the
Dear Moses people!
Apertium[1] was accepted in the Google Summer of Code[2] this year. We
are looking for students who would be interested in working on different
aspects of rule-based MT for three months during the summer. Apertium is
primarily a rule-based project, but we also apply machine
** Apologies for cross-posting **
Second (Main) Call for Papers - Coling 2014
COLING 2014
Dublin, Ireland, 23-29 August, 2014
The International Committee on Computational Linguistics (ICCL) is
pleased to announce the 25th International Conference on Computational
Linguistics
I think you asked this question 2 weeks ago
http://article.gmane.org/gmane.comp.nlp.moses.user/10406/match=saeed
On 25 February 2014 06:50, Saeed Farzi saeedfa...@gmail.com wrote:
Dear all,
I am trying to use constraint decoding with moses, Any body knows how do
this?
By the way, are
Hi Barry,
Thanks for the instructions.
I check the tmp directory and it seems that the align. file is broken.
And I rerun the extract-parallel perl separately but it doesn't work either.
Here is the link to my small corpus.
https://www.dropbox.com/sh/beffab8g215awz6/2dCp0G_pdj
Thank you,
Hui
Hi Hui
What do you mean by broken? I meant for you to upload the contents of
the tmp directory to dropbox,
cheers - Barry
On 25/02/14 15:54, 李惠惠 wrote:
Hi Barry,
Thanks for the instructions.
I check the tmp directory and it seems that the align. file is broken.
And I rerun the
There's a problem with your SRILM library.
My advise - don't bother linking to SRILM. KenLM is much better than SRILM
for most purposes these days
Your compilation command should be as simple as
bjam -a -j2
On 25 February 2014 07:36, priyanka priya...@cse.iitb.ac.in wrote:
Hello
Dear Support,
I realize that there may not be a simple answer, but I would like to
understand why running training on a 9300 segment corpus takes nearly
three times as long on a 12 core Xeon E5-1650v2 128GB RAM Running CentOS
6.5, than on my MacBook Pro 4 core i7 3720QM 8GB RAM running
Strange and interesting.
I can think of 2 issues:
1. The number of cores isn't relevant unless you explicitly ask mgiza
the various extraction steps to use multiple cores.
2. It looks like mgiza is the issue
3. I'm not sure how io-bound mgiza is. However, in my test with virtual
machines,
Hi,
Is there a non-programming way to restrict WordTranslationFeature to
specific pairs rather than the complete product of two separate source
and target word lists?
Best,
Marcin
___
Moses-support mailing list
Moses-support@mit.edu
Title: Email signature standard
Many thanks Hieu,
I did specify "-mgiza-cpus 4" for the Mac and "-mgiza-cpus 12" for
the Xeon server. Interestingly "-mgiza-cpus 10" gave slightly
better performance (5 mins). Looking at the io stats mgiza did not
appear to
Title: Email signature standard
Hi Andrzej
What if you give the same number of threads to each run? It may be
that the small size of your data set means that the threading
overhead outweights the benefits of using lots of threads,
cheers - Barry
I guess the mkcls time is a good hint here. Could it be that the Xeon
system is much slower on a per-core basis, like low CPU frequency
compared to your Mac? Mkcls is single process, so this is not a
multi-threading issue. Maybe there is heavy load on that Xeon from other
sources?
W dniu
Hi,
I am wondering about this piece of code in the get_weights_from_mert
function of mert-moses.pl:
my $sum = 0.0;
while ($fh) {
if (/^F(\d+) ([\-\.\de]+)/) { # regular features
$WEIGHT[$1] = $2;
$sum += abs($2);
} elsif (/^M(\d+_\d+) ([\-\.\de]+)/)
OK, second part of question is resolved. The multiple weight sets only
occur if kbmira outputs to stdout. If a file name is given it overwrites
the file and thus the previous weight set. I am however still wondering
why the sparse weights are not being summed into the normalization factor.
W
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
because they are set to tuneable=false.
In the function
[Apologies if you receive this more than once]
The workshop program of the
SIGIR’14: 37th Annual ACM SIGIR Conference,
Gold Coast, Australia, 6-11 July, 2014
http://sigir.org/sigir2014/
will host seven attractive workshops covering novel ideas and emerging areas in
IR:
17 matches
Mail list logo
