Despite the success of training multi-lingual NMT systems; there are a couple of challenges to leverage them for zero-resource languages: Lexical-level Sharing Conventionally, a multilingual NMT model has a vocabulary that represents the union of the vocabularies of all source languages.
the multi-lingual words do not practically share the same embedding space since each word has its own representation.