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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