Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus
Table 2: M2 and GLEU results. The bold scores represent the best score in unsupervised SMT. The underlined scores represent the best overall score.
['[EMPTY]', 'iter', 'CoNLL-14 (M2) P', 'CoNLL-14 (M2) R', 'CoNLL-14 (M2) F0.5', 'JFLEG GLEU']
The F0.5 score for USMTforward in iter 1 is 13.57 points lower than that of supervised SMT and 17.17 points lower than that of supervised NMT. On JFLEG, the highest score was achieved with USMTforward in iter 1 among the unsupervised SMT models; its GLEU scores are 5.28 points and 3.39 points lower than those of supervised SMT and supervised NMT, respectively.