9. The method of claim 1 , wherein the outputting comprises: translating the input query with a decoder of the machine translation system to generate a set of candidate queries in the target language; extracting features for each of the candidate queries in the set; and ranking the candidate queries based on a representation of the extracted features for each candidate query and feature weights for the features in the reranking model.
10. The method of claim 9 , wherein the ranking comprises computing a function of the extracted features and the learned feature weights for the features.