8. A tangible computer-readable medium storing instructions for controlling a computing device to generate a spoken language understanding module, the instructions comprising: a. selecting at least one predicate/argument pair as an intent from a set of the most frequent predicate/argument pairs for a domain associated with a spoken dialog system in a first language; b. labeling training data using mapping rules for the first language associated with the selected at least one predicate/argument pair and that specify rules for selecting a call-type label for an utterance; c. training a call-type classification model using the labeled training data; d. re-labeling the training data using the call-type classification model; and e. iteratively processing steps (c) and (d) until training set labels converge.
8. A tangible computer-readable medium storing instructions for controlling a computing device to generate a spoken language understanding module, the instructions comprising: a. selecting at least one predicate/argument pair as an intent from a set of the most frequent predicate/argument pairs for a domain associated with a spoken dialog system in a first language; b. labeling training data using mapping rules for the first language associated with the selected at least one predicate/argument pair and that specify rules for selecting a call-type label for an utterance; c. training a call-type classification model using the labeled training data; d. re-labeling the training data using the call-type classification model; and e. iteratively processing steps (c) and (d) until training set labels converge. 9. The tangible computer-readable medium of claim 8 , the instructions further comprising assigning the verbs be and have as special predicates.