URIEL and lang2vec: Representing languages as typological, geographical, and phylogenetic vectors

no code implementations • EACL 2017 • Patrick Littell, David R. Mortensen, Ke Lin, Katherine Kairis, Carlisle Turner, Lori Levin

We introduce the URIEL knowledge base for massively multilingual NLP and the lang2vec utility, which provides information-rich vector identifications of languages drawn from typological, geographical, and phylogenetic databases and normalized to have straightforward and consistent formats, naming, and semantics.

Language Identification Language Modelling +1