Finally, for the self-supervised learning technique, by controlling the number of EM iterations and altering the lexicon pruning strategy we obtain word segmentation accuracies of 44%, 49%, 53%, 56%, 59%, 70%, 75%, and 77%.
overall we obtain 12 different segmenters that achieve segmentation performances of 44%, 49%, 53%, 56%, 59%, 70%, 71%, 75%, 77%, 85%, 90%, and 95%.