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 , siamese multilingual transformer (SML ), to efficiently align multilingual embeddings for Natural Language Inference , allowing for unmatched language pairs to be processed. SILT 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.