In the PKU corpus, we do not see a gain using either the data combination approach or the relabelling approach compared to the performance of the Char-Segmenter after cotraining, probably because the Sun-Segmenter just modestly improves over the Char-Segmenter under the CEILING condition.
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.