Unsupervised Text Style Transfer using Language Models as Discriminators
Table 4: Related language translation results measured in BLEU. The results for sr vs bs in measured in BLEU1 while cn vs tw is measure in BLEU.
['Model', 'sr–bs', 'bs–sr', 'cn–tw', 'tw–cn']
Results: The results are shown in Table. For sr–bos and bos–sr, since the vocabulary of two languages does not overlap at all, it is a very challenging task. We report the BLEU1 metric since the BLEU4 is close to 0. The case for zh–tw and tw–zh is much easier. Simple copying already has a reasonable score of 32.3.