Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus
Table 3: The effect of source languages for comparable corpus creation. These News Crawl corpora are as of 2017 version. The number of sentences in each dataset is approximately 20M, respectively. These results are obtained by USMTforward in iter 1.
['Src', 'Precision', 'Recall', 'F0.5']
We also examine how source languages of machine translation affect performance. The outputs using Finnish data is the best score among various languages; the more similar to English the source-side data is, the lower the F0.5 score of the output.