In step 5 and 6 during each iteration, some data labelled by M1 are selected and added to the training set L2, and vice versa.
in the CU corpus, where under the CEILING condition the Sun-Segmenter has a much bigger gain over the Char-Segmenter, there is 0.7% improvement by using the data combination approach and 0.8% by using the relabelling approach, and the improvement is statistically significant.