Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation
Table 9: BLEU scores achieved with only Coursera parallel data extracted by different similarity measures.
['[EMPTY]', '# of aligned lines', 'BLEU Ja→En', 'BLEU En→Ja']
Whereas using BLEU as a measure of sentence similarity for alignment was bad, unsupervised cross-lingual embeddings gave more reliable similarity scores leading to better aligned sentences. Our MT+CS method which combines these two methods was able to give a parallel corpus, giving the highest BLEU score.