However, by examining the error analyses in Tables 7 and 8, we also observe the occurrence of a second kind of trade-off, in which the semi-supervised Morfessor and AG approaches trade off under-segmentation errors to other under-segmentation errors.
although the STEM-SUFFIX and SUFFIX-SUFFIX boundary recall errors are decreased, one also observes an increase in the errors at STEM-STEM and PREFIX-STEM boundaries.