The transformation classifier is used to process the source corpus, with the classification label derived from the segmented sentences as the guiding features, so as to relabel the source corpus with the target annotation guideline.
it is valuable to conduct experiments with more source-annotated training data, such as the SIGHAN dataset, to investigate the trend of improvement along with the increment of the additional annotated sentences.