5. A system that converts an extant host language classifier on the computer to an initial target language classifier, the system comprising: memory containing a classifier conversion application; and a processor for executing the classifier conversion application causing the system to: translate marked host language examples included in the extant host language classifier on the computer to obtain translated marked target language examples, each example being an informational pair of a feature or features of the respective language and a classification result for that feature or feature; build an initial target language classifier using the translated marked target language examples; mark un-marked target language examples ef from passages of target language text using the initial target language classifier in order to obtain marked target language examples; re-classify the marked target language examples in the initial target language classifier; question the marking used to obtain the marked target language examples in the initial target language classifier based on the re-classifying; isolate a high-quality set of marked target language examples based on the results of the questioning; and use the high-quality set of marked target examples to improve the initial target language classifier.
5. A system that converts an extant host language classifier on the computer to an initial target language classifier, the system comprising: memory containing a classifier conversion application; and a processor for executing the classifier conversion application causing the system to: translate marked host language examples included in the extant host language classifier on the computer to obtain translated marked target language examples, each example being an informational pair of a feature or features of the respective language and a classification result for that feature or feature; build an initial target language classifier using the translated marked target language examples; mark un-marked target language examples ef from passages of target language text using the initial target language classifier in order to obtain marked target language examples; re-classify the marked target language examples in the initial target language classifier; question the marking used to obtain the marked target language examples in the initial target language classifier based on the re-classifying; isolate a high-quality set of marked target language examples based on the results of the questioning; and use the high-quality set of marked target examples to improve the initial target language classifier. 8. The system of claim 5 , wherein the processor causes the system to: translating host language classifier data structures to obtain translated target language data structures; and using the translated target language data structures to build the initial target language classifier.