Hi,

I am using Moses to build a factored English-Romanian translation system. I 
build 2 language models with SRILM (with 5-grams) for Romanian : one with word 
forms and the other with the MSD tag.  
The training step seems ok, but I obtain an error when applying Moses to the 
test data:

> > moses: LanguageModelInternal.cpp:23: virtual bool
> > Moses::LanguageModelInternal::Load(const std::string&, Moses::FactorType,
> > float, size_t): Assertion `nGramOrder <= 3' failed.

For information, the content of moses.ini is given below.
Do you have any idea ?

Thank you for your help.

Best regards
Amalia  

#########################
### MOSES CONFIG FILE ###
#########################

# input factors
[input-factors]
0
1
2
3

# mapping steps
[mapping]
0 T 0
0 T 1
0 G 0

# translation tables: table type (hierarchical(0), textual (0), binary (1)), 
source-factors, target-factors, number of scores, file 
# OLD FORMAT is still handled for back-compatibility
# OLD FORMAT translation tables: source-factors, target-factors, number of 
scores, file 
# OLD FORMAT a binary table type (1) is assumed 
[ttable-file]
0 1 1 5 
/home/lsha/Bureau/moses/working/corpusacl/tm-enro/model/phrase-table.1-1.gz
0 3 3 5 
/home/lsha/Bureau/moses/working/corpusacl/tm-enro/model/phrase-table.3-3.gz

# generation models: source-factors, target-factors, number-of-weights, filename
[generation-file]
1,3 0 1 /home/lsha/Bureau/moses/working/corpusacl/tm-enro/model/generation.1,3-0

# language models: type(srilm/irstlm), factors, order, file
[lmodel-file]
0 0 5 /home/lsha/Bureau/moses/working/corpusacl/naacl.en-ro-lm-0.n5.ro.arpa.gz
0 3 5 /home/lsha/Bureau/moses/working/corpusacl/naacl.en-ro-lm-3.n5.ro.arpa.gz


# limit on how many phrase translations e for each phrase f are loaded
# 0 = all elements loaded
[ttable-limit]
20
0

# distortion (reordering) weight
[weight-d]
0.6

# language model weights
[weight-l]
0.2500
0.2500


# translation model weights
[weight-t]
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2

# generation model weights
[weight-generation]
0.3

# word penalty
[weight-w]
-1

[distortion-limit]
6
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