Dear all,
I'm following the moses step by step tutorial to train a
phrase-based mt model, when I ran the "mert-moses.pl" command, the process
stop after a little time. And the mert.log file ends like this:
Loading lexical distortion models...
112 have 1 models
113 Creating lexical reordering...
114 weights: 0.111 0.111 0.111 0.111 0.111 0.111
115 Loading table into memory...done.
116 Created lexical orientation reordering
117 /home/yangshaohua/experiment/no_modified_character/work1/lm/data.lm:
line 13: warning: non-zero probability for <unk> in closed-vocabulary LM
118 Segmentation fault
119 Exit code: 139
120 The decoder died. CONFIG WAS -w 0.000000 -lm 0.111111 -d 0.111111
0.111111 0.111111 0.111111 0.111111 0.111111 0.111111 -tm 0.033333 0.022222
0.033333 0.022222 0.000000
I don't think that this problem is caused by limited memory because when
it stops, the system still has a lot of memory. What else problems may be
for such a situation?
*Best Regards,*
*ShaoHua yang*
*
*
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