Dear all,


I was trained the tree-to-tree rule-table from Chinese to English.

The command I used to train the model is:



~/mosesdecoder/scripts/training/train-model.perl \

-external-bin-dir /share/apps/moses/gcc/giza-bin-dir \

-root-dir zct2t_en \

-corpus test.10.moses -f cn -e en \

-alignment grow-diag-final-and -source-syntax -target-syntax -glue-grammar \

-lm 0:3:/home/ben/data/zc.blm.en:1





However, I find out the rule-table is very strange. Such as:

Brunel 可能 [VP][VP] , [IP] ||| now brunel may have [VP][VP] , [TOP] ||| 0.
499999 7.48437e-05 0.499999 0.0159349 2.718 ||| 0-0 0-1 1-2 1-3 2-4 3-5 |||
0.166667 0.166667 0.0833333

CA: 我 [VP][VBD] 。 [IP] ||| ca : i [VP][VBD] . [TOP] ||| 0.5 0.15398 0.5
0.0413438 2.718 ||| 0-0 0-1 1-2 2-3 3-4 ||| 0.222222 0.222222 0.111111



Question 1: There contain 5 probabilities in the middle:

0.499999        7.48437e-05   0.499999        0.0159349      2.718

0.5                  0.15398          0.5                  0.0413438      2.
718

The last part “2.718” is same in all rules of the rule-table, but what it
means?



Question 2: What is meaning for the last part in the rule?

0.166667        0.166667        0.0833333

0.222222        0.222222        0.111111

It look like some probabilities, but what it means?





I worked on this problem for a few weeks, and no idea of the definition for
the rule-table generated by tree-to-tree training.



Many and many thanks for solving those problem!!



Regards,

Ben

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