Then, the (normalization) probability of t given dialect sentence s can be written as where θ represents a set of all model parameters in the encoder-decoder model, which are determined by the parameter-estimation process of a standard softmax cross-entropy loss minimization using training data.
we set p(m s |m t ) = F ms,mt /F mt , where F ms,mt is the joint frequency of (m s , m t ) and F mt is the frequency of m t in the extracted morphological conversion patterns of training data.