Before revision:  We propose Hierarchical Contrastive Learning (HiCTL)  to (1) learn universal representations for parallel sentences distributed in one or multiple languages and (2) distinguish the semantically-related words from a shared cross-lingual vocabulary for each sentence.
After revision:  Specifically, we propose a Hierarchical Contrastive Learning (HiCTL) to (1) learn universal representations for parallel sentences distributed in one or multiple languages and (2) distinguish the semantically-related words from a shared cross-lingual vocabulary for each sentence.