This might result from the phenomenon alluded to in Section 4, where additional data sometimes degrades performance for unsupervised analyzers.
the Lee segmenter's gain on Levantine (18%) is higher than its gain on Small MSA (13%), even though Levantine has more data (1.5M vs. 1.3M words).