Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining
Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining
This work presents methods for learning cross-lingual sentence representations using paired or unpaired bilingual texts. We hypothesize that the cross-lingual alignment strategy is transferable, and therefore a model trained to align only two languages can encode multilingually more aligned representations. We thus introduce dual-pivot transfer: training on one language pair …