Dear all,
I have some doubts about the rule table definition when perform the tree-to-tree training. I had read the description at http://www.statmt.org/moses/?n=Moses.SyntaxTutorial For the string-to-tree training, the rule-table is: gibt [X] ||| gives [ADJ] ||| 1.0 ||| ||| 3 5 The last part is represented as frequency counts of source & target phrase. But for the tree-to-tree training, it is totally different, the last part look like some probabilities. One of the rule from the rule-table is shown as the following: [NP][NP] 可能 产生 的 [CP] ||| of [NP][NP] [PP] ||| 0.00133849 0.177556 1 3. 12588e-07 2.718 ||| 0-1 3-0 ||| 498.074 0.666666 0.666666 Anyone can tell me what is the meaning for the last part (498.074 0.666666 0.666666) in the rule table?? Too many thanks for answering this question. Regards, Ben
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