Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation
Table 2: The experimental results of parallel sentence mining on the newstest 2012 en → fr translation dataset with different levels of added sentence noises. Metric: The percentage of Hits@k.
['[BOLD] Noise', '[BOLD] Model', '[BOLD] Hits@1', '[BOLD] Hits@3', '[BOLD] Hits@5', '[BOLD] Hits@8', '[BOLD] Hits@10', '[BOLD] Hits@15', '[BOLD] Hits@20']
Although our extraction model structure is different from the supervised extraction model, it can still give us a good insight into the upperbound and gap of performance. We can observe a noticeable gap between unsupervised and supervised methods, but the gap is narrowing as the rank increases. Meanwhile, in our unsupervised method, the performance grows quickly when k≤10.