@inproceedings{mccarthy-etal-2020-unimorph,
title = "{U}ni{M}orph 3.0: {U}niversal {M}orphology",
author = "McCarthy, Arya D. and
Kirov, Christo and
Grella, Matteo and
Nidhi, Amrit and
Xia, Patrick and
Gorman, Kyle and
Vylomova, Ekaterina and
Mielke, Sabrina J. and
Nicolai, Garrett and
Silfverberg, Miikka and
Arkhangelskiy, Timofey and
Krizhanovsky, Nataly and
Krizhanovsky, Andrew and
Klyachko, Elena and
Sorokin, Alexey and
Mansfield, John and
Ern{\v{s}}treits, Valts and
Pinter, Yuval and
Jacobs, Cassandra L. and
Cotterell, Ryan and
Hulden, Mans and
Yarowsky, David",
booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.483",
pages = "3922--3931",
abstract = "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.",
language = "English",
ISBN = "979-10-95546-34-4",
}
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<abstract>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.</abstract>
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%0 Conference Proceedings
%T UniMorph 3.0: Universal Morphology
%A McCarthy, Arya D.
%A Kirov, Christo
%A Grella, Matteo
%A Nidhi, Amrit
%A Xia, Patrick
%A Gorman, Kyle
%A Vylomova, Ekaterina
%A Mielke, Sabrina J.
%A Nicolai, Garrett
%A Silfverberg, Miikka
%A Arkhangelskiy, Timofey
%A Krizhanovsky, Nataly
%A Krizhanovsky, Andrew
%A Klyachko, Elena
%A Sorokin, Alexey
%A Mansfield, John
%A Ernštreits, Valts
%A Pinter, Yuval
%A Jacobs, Cassandra L.
%A Cotterell, Ryan
%A Hulden, Mans
%A Yarowsky, David
%S Proceedings of the 12th Language Resources and Evaluation Conference
%D 2020
%8 may
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G English
%F mccarthy-etal-2020-unimorph
%X 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.
%U https://aclanthology.org/2020.lrec-1.483
%P 3922-3931
Markdown (Informal)
[UniMorph 3.0: Universal Morphology](https://aclanthology.org/2020.lrec-1.483) (McCarthy et al., LREC 2020)
ACL
- Arya D. McCarthy, Christo Kirov, Matteo Grella, Amrit Nidhi, Patrick Xia, Kyle Gorman, Ekaterina Vylomova, Sabrina J. Mielke, Garrett Nicolai, Miikka Silfverberg, Timofey Arkhangelskiy, Nataly Krizhanovsky, Andrew Krizhanovsky, Elena Klyachko, Alexey Sorokin, John Mansfield, Valts Ernštreits, Yuval Pinter, Cassandra L. Jacobs, et al.. 2020. UniMorph 3.0: Universal Morphology. In Proceedings of the 12th Language Resources and Evaluation Conference, pages 3922–3931, Marseille, France. European Language Resources Association.