Year: 2018
Type: conference-paper
Abstract: The Universal Dependencies (UD) and Universal Morphology (UniMorph) projects each present schemata for annotating the morphosyntactic details of language.Each project also provides corpora of annotated text in many languages-UD at the token level and UniMorph at the type level.As each corpus is built by different annotators, languagespecific decisions hinder the goal of universal schemata.With compatibility of tags, each project's annotations could be used to validate the other's.Additionally, the availability of both type-and token-level resources would be a boon to tasks such as parsing and homograph disambiguation.To ease this interoperability, we present a deterministic mapping from Universal Dependencies v2 features into the Uni-Morph schema.We validate our approach by lookup in the UniMorph corpora and find a macro-average of 64.13% recall.We also note incompatibilities due to paucity of data on either side.Finally, we present a critical evaluation of the foundations, strengths, and weaknesses of the two annotation projects.
DOI: 10.18653/v1/w18-6011
Authors: Arya D. McCarthy, Miikka Silfverberg, Ryan Cotterell, Mans Hulden, David Yarowsky
Institutions: Johns Hopkins University, University of Colorado Boulder
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W2895891096