Decision-tree-based translator classification method
A classification method, decision tree technology, applied in the field of translator classification based on decision tree, can solve the problem of low translation efficiency
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[0012] In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be understood by those skilled in the art that the present invention may be practiced without these specific details. In other instances, well-known methods, procedures, components and circuits have not been described in detail so as not to obscure the present invention.
[0013] In order to facilitate a faster understanding of this solution, a brief description of the terms used in the following:
[0014] Information entropy, let X be a discrete random variable with finite values, and its probability distribution is P(X=x i ) = p i ,i=1,2,...,n, then the information entropy of random variable X is defined as:
[0015] H ( p ) = - Σ i = 1 ...
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