UniMorph 3.0: Universal morphology
AuthorMcCarthy, AD; Kirov, C; Grella, M; Nidhi, A; Xia, P; Gorman, K; Vylomova, E; Mielke, SJ; Nicolai, G; Silfverberg, M; ...
Source TitleLREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings
PublisherEuropean Language Resources Association (ELRA)
AffiliationSchool of Languages and Linguistics
Document TypeConference Paper
CitationsMcCarthy, A. D., Kirov, C., Grella, M., Nidhi, A., Xia, P., Gorman, K., Vylomova, E., Mielke, S. J., Nicolai, G., Silfverberg, M., Arkhangelskij, T., Krizhanovsky, N., Krizhanovsky, A., Klyachko, E., Sorokin, A., Mansfield, J., Ernštreits, V., Pinter, Y., Jacobs, C. L. ,... Yarowsky, D. (2020). UniMorph 3.0: Universal morphology. Calzolari, N (Ed.) LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings, pp.3922-3931. European Language Resources Association (ELRA).
Access StatusOpen Access
The Universal Morphology (UniMorph) project is a collaborative effort providing broad-coverage instantiated normalized morphological paradigms for hundreds of diverse world languages. The project comprises two major thrusts: a language-independent feature schema for rich morphological annotation and a type-level resource of annotated data in diverse languages realizing that schema. We have implemented several improvements to the extraction pipeline which creates most of our data, so that it is both more complete and more correct. We have added 66 new languages, as well as new parts of speech for 12 languages. We have also amended the schema in several ways. Finally, we present three new community tools: two to validate data for resource creators, and one to make morphological data available from the command line. UniMorph is based at the Center for Language and Speech Processing (CLSP) at Johns Hopkins University in Baltimore, Maryland. This paper details advances made to the schema, tooling, and dissemination of project resources since the UniMorph 2.0 release described at LREC 2018.
- Click on "Export Reference in RIS Format" and choose "open with... Endnote".
- Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References