The most common approach is to use the maximum aposteriori (MAP) decision rule.
we select the hypothesis which maximizes the posterior probability P r(e I 1 |f J 1 ):êÎ This is equivalent to the MBR decision rule under a 0-1 loss function: Hence, the MAP decision rule is optimal for the sentence or string error rate.