We encode each goldsegmented sentence in our treebank via the ELMo model for that language, which yields a tensor S ELMo = R N ×L×D , where N is the number of words in the sentence, L = 3 is the number of ELMo layers, and D = 1024 is the ELMo vector dimensionality.
a closer look at the breakdown per language reveals that this picture is slightly distorted by different sentence length distributions in different languages.