  We introduce ParaNames, a multilingual parallel name resource consisting of
118 million names spanning across 400 languages. Names are provided for 13.6
million entities which are mapped to standardized entity types (PER/LOC/ORG).
Using Wikidata as a source, we create the largest resource of this type
to-date. We describe our approach to filtering and standardizing the data to
provide the best quality possible. ParaNames is useful for multilingual
language processing, both in defining tasks for name
translation/transliteration and as supplementary data for tasks such as named
entity recognition and linking. We demonstrate an application of ParaNames by
training a multilingual model for canonical name translation to and from
English. Our resource is released under a Creative Commons license (CC BY 4.0)
at https://github.com/bltlab/paranames.
