Thanks, Hieu.
After I wrote the question, I realized I should re-phrase but then
forgot about it. In the standard processing, train-model.perl trains the
translation model and lmplz (or other tool) creates the language model.
When adding a neural network language mode, it looks like you're
confirming that the NPLM tools train the neural network language model.
Hence, my question's reference to train-model.perl was in error.
After separately training the three models: translation, language and
neural network language, you edit the moses.ini file to use them
together as one SMT model. Once the moses.ini file is configured, you
set it as the -config argument for mert-moses.perl. At this point, it
looks the existence of the additional model is irrelevant to mert-moses.pl.
On 4/7/2015 1:08 PM, Hieu Hoang wrote:
The NPLM isn't just an implementation of a normal backoff language
model like SRILM, IRSTLM, KENLM etc.
It scores strings in a different way and requires it's own training.
It's a language model in the sense that it gives a score to a sentence
in that language
On 24/03/2015 04:17, Tom Hoar wrote:
I haven't done it, but once you've updated the moses.ini file with
the NPLM FF, shouldn't the existing train-model.perl & mert-moses.pl
<http://mert-moses.pl> scripts run unchanged?
---- liling tan wrote ----
Dear Moses devs/users,
Is there any working script for training a moses model with NPLM?
Is there any working train-model script for training a MT model with
bilingual LM?
http://www.statmt.org/moses/?n=FactoredTraining.BuildingLanguageModel#ntoc35
Is there a tutorial on Vector/Neural MT for moses on like
http://www.statmt.org/moses/?n=Moses.SyntaxTutorial
Are there any slides/script/hints on explanation on how the bilingual
LM works with the moses decoder?
Regards,
Liling
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