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UniMorph 2.0: Universal Morphology

Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

DOI:10.63317/3rq3n9kr4gk8

Abstract

The Universal Morphology (UniMorph) project is a collaborative effort to improve how NLP handles complex morphology across the world's languages. The project releases annotated morphological data using a universal tagset, the UniMorph schema. Each inflected form is associated with a lemma, which typically carries its underlying lexical meaning, and a bundle of morphological features from our schema. Additional supporting data and tools are also released on a per-language basis when available. 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 collection, annotation, and dissemination of project resources since the initial UniMorph release described at LREC 2016.

Details

Paper ID
lrec2018-main-293
Pages
N/A
BibKey
kirov-etal-2018-unimorph
Editor
N/A
Publisher
European Language Resources Association (ELRA)
ISSN
2522-2686
ISBN
79-10-95546-00-9
Conference
Eleventh International Conference on Language Resources and Evaluation
Location
Miyazaki, Japan
Date
7 May 2018 12 May 2018

Authors

  • CK

    Christo Kirov

  • RC

    Ryan Cotterell

  • JS

    John Sylak-Glassman

  • GW

    Géraldine Walther

  • EV

    Ekaterina Vylomova

  • PX

    Patrick Xia

  • MF

    Manaal Faruqui

  • SM

    Sabrina J. Mielke

  • AM

    Arya McCarthy

  • SK

    Sandra Kübler

  • DY

    David Yarowsky

  • JE

    Jason Eisner

  • MH

    Mans Hulden

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