Furthermore, in his publication McDonald states clearly that different values of K did not actually have a major impact on the final performance of the model.
and for the sake of being able to successfully train the model with largescale data, the learning procedure is implemented as a distributed structured perceptron with iterative parameter mixing (McDonald et al., 2010), where each shard is processed with MIRA and K is set to 1.