Before revision:  In this paper, we propose a new architecture , siamese multilingual transformer (SML ), to efficiently align multilingual embeddings for Natural Language Inference . SML leverages siamese pre-trained multi-lingual transformers with frozen weights where the two input sentences attend each other to later be combined through a matrix alignment method.
After revision:  In this paper, we propose a new architecture called Siamese Inter-Lingual Transformer (SILT ), to efficiently align multilingual embeddings for Natural Language Inference . SML leverages siamese pre-trained multi-lingual transformers with frozen weights where the two input sentences attend each other to later be combined through a matrix alignment method.