Dear Moses Users,

i encountered a segmentation fault when using Moses (using DoMY-CE)
Ofc, i have read the according Mailing-List entries but my irstlm 
version is already up-to-date (5.60.03) and the model was trained with 
the same moses version (4036) i'm using to run it.
I also manually installed the latest mosesdecoder 4076 (with irstlm 
support)  from SVN and tried to run my model with it, but that didnt 
change anything.

last output:

Loading lexical distortion models...have 1 models
Creating lexical reordering...
weights: 1.300 1.300 1.300 1.300 1.300 1.300
binary file loaded, default OFF_T: -1
Start loading LanguageModel /MTWorkspace/working-dir/lm-de/europarl.lm : 
[1.000] seconds
In LanguageModelIRST::Load: nGramOrder = 2
IRSTLM Language Model Type of /MTWorkspace/working-dir/lm-de/europarl.lm 
is 1
Loading LM file (no MAP)
\data\
loadtxt()
1-grams: reading 49480 entries
2-grams: reading 397470 entries
3-grams: reading 100393 entries
4-grams: reading 56471 entries
5-grams: reading 28678 entries
done
starting to use OOV words [<unk>]
OOV code is 49480
OOV code is 49480
IRST: m_unknownId=49480
creating cache for storing prob, state and statesize of ngrams
Finished loading LanguageModels : [2.000] seconds
Start loading PhraseTable 
/MTWorkspace/working-dir/model-en-de/phrase-table : [2.000] seconds
filePath: /MTWorkspace/working-dir/model-en-de/phrase-table
Finished loading phrase tables : [2.000] seconds
Speicherzugriffsfehler


Moses.ini:
#########################
### MOSES CONFIG FILE ###
#########################

# input factors
[input-factors]
1

# mapping steps
[mapping]
0 T 0

# translation tables: table type (hierarchical(1), 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]
1 0 0 5 /MTWorkspace/working-dir/model-en-de/phrase-table

# no generation models, no generation-file section

# language models: type(srilm/irstlm), factors, order, file
[lmodel-file]
1 0 2 /MTWorkspace/working-dir/lm-de/europarl.lm


# limit on how many phrase translations e for each phrase f are loaded
# 1 = all elements loaded
[ttable-limit]
21

# distortion (reordering) files
[distortion-file]
1-0 wbe-msd-bidirectional-fe-allff 6 
/MTWorkspace/working-dir/model-en-de/reordering-table.binary

# distortion (reordering) weight
[weight-d]
1.3
1.3
1.3
1.3
1.3
1.3
1.3

# language model weights
[weight-l]
1.5000


# translation model weights
[weight-t]
1.20
1.20
1.20
1.20
1.20

# no generation models, no weight-generation section

# word penalty
[weight-w]
-1

[distortion-limit]
6

Training commands:

train-model.perl -root-dir working-dir -corpus 
working-dir/corpus/europarl.lowercased.$pair -f $LS -e $LT -alignment 
grow-diag-final-and -reordering msd-bidirectional-fe -mgiza -mgiza-cpus 
2 -lm 0:5:$WS/working-dir/lm-$LT/europarl.lm:0

cat phrase-table | sort | processPhraseTable -ttable 0 0 - -nscores $NG 
-alignment-info -out phrase-table

processLexicalTable -in reordering-table.wbe-msd-bidirectional-fe -out 
reordering-table.binary

-- 
Christian Wirth
Ubiquitous Knowledge Processing
FB 20 Computer Science Department
Technische Universität Darmstadt
Hochschulstr. 10, D-64289 Darmstadt, Germany
phone [+49] (0)6151 16-6166, fax -5455, room S2/02/B115
www.ukp.tu-darmstadt.de

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