Then the coverage vector is fed to attention model to adjust the attention in the next step.
more two steps are needed: We need to maintain a coverage vector, which summarizes the attention record at each decode step as follows: where Φ j is the fertility for word x j , and can be computed by Where N is the largest fertility, and U f is the weight matrix.