UniMorph 3.0: Universal Morphology

Valts Ernštreits; Vallo Matto

UniMorph 3.0: Universal Morphology

Valts Ernštreits
, Vallo Matto

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review

76 Citations (Scopus)

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.

Original language	English
Title of host publication	LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings
Editors	Nicoletta Calzolari, Frederic Bechet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Place of Publication	Paris
Publisher	European Language Resources Association
Pages	3922-3931
Number of pages	10
ISBN (Electronic)	9791095546344
ISBN (Print)	9791095546344
Publication status	Published - 2020

Publication series

Name	LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings

Keywords

Lexical database
Morphology
Multilinguality

Cite this

Ernštreits, V., & Matto, V. (2020). UniMorph 3.0: Universal Morphology. In N. Calzolari, F. Bechet, P. Blache, K. Choukri, C. Cieri, T. Declerck, S. Goggi, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, & S. Piperidis (Eds.), LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings (pp. 3922-3931). (LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings). European Language Resources Association.

Ernštreits, Valts ; Matto, Vallo. / UniMorph 3.0: Universal Morphology. LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. editor / Nicoletta Calzolari ; Frederic Bechet ; Philippe Blache ; Khalid Choukri ; Christopher Cieri ; Thierry Declerck ; Sara Goggi ; Hitoshi Isahara ; Bente Maegaard ; Joseph Mariani ; Helene Mazo ; Asuncion Moreno ; Jan Odijk ; Stelios Piperidis. Paris : European Language Resources Association, 2020. pp. 3922-3931 (LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings).

@inproceedings{9308557c1b694215a51e53b191c7a62a,

title = "UniMorph 3.0: Universal Morphology",

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.",

keywords = "Lexical database, Morphology, Multilinguality",

author = "Valts Ern{\v s}treits and Vallo Matto",

note = "Publisher Copyright: {\textcopyright} European Language Resources Association (ELRA), licensed under CC-BY-NC",

year = "2020",

language = "English",

isbn = "9791095546344",

series = "LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings",

publisher = "European Language Resources Association",

pages = "3922--3931",

editor = "Nicoletta Calzolari and Frederic Bechet and Philippe Blache and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis",

booktitle = "LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings",

}

Ernštreits, V & Matto, V 2020, UniMorph 3.0: Universal Morphology. in N Calzolari, F Bechet, P Blache, K Choukri, C Cieri, T Declerck, S Goggi, H Isahara, B Maegaard, J Mariani, H Mazo, A Moreno, J Odijk & S Piperidis (eds), LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings, European Language Resources Association, Paris, pp. 3922-3931.

UniMorph 3.0: Universal Morphology. / Ernštreits, Valts; Matto, Vallo.
LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. ed. / Nicoletta Calzolari; Frederic Bechet; Philippe Blache; Khalid Choukri; Christopher Cieri; Thierry Declerck; Sara Goggi; Hitoshi Isahara; Bente Maegaard; Joseph Mariani; Helene Mazo; Asuncion Moreno; Jan Odijk; Stelios Piperidis. Paris: European Language Resources Association, 2020. p. 3922-3931 (LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review

TY - GEN

T1 - UniMorph 3.0: Universal Morphology

AU - Ernštreits, Valts

AU - Matto, Vallo

N1 - Publisher Copyright: © European Language Resources Association (ELRA), licensed under CC-BY-NC

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Lexical database

KW - Morphology

KW - Multilinguality

UR - http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.483.pdf

UR - https://www.scopus.com/pages/publications/85096511235

M3 - Conference paper

SN - 9791095546344

T3 - LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings

SP - 3922

EP - 3931

BT - LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings

A2 - Calzolari, Nicoletta

A2 - Bechet, Frederic

A2 - Blache, Philippe

A2 - Choukri, Khalid

A2 - Cieri, Christopher

A2 - Declerck, Thierry

A2 - Goggi, Sara

A2 - Isahara, Hitoshi

A2 - Maegaard, Bente

A2 - Mariani, Joseph

A2 - Mazo, Helene

A2 - Moreno, Asuncion

A2 - Odijk, Jan

A2 - Piperidis, Stelios

PB - European Language Resources Association

CY - Paris

ER -

Ernštreits V, Matto V. UniMorph 3.0: Universal Morphology. In Calzolari N, Bechet F, Blache P, Choukri K, Cieri C, Declerck T, Goggi S, Isahara H, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S, editors, LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. Paris: European Language Resources Association. 2020. p. 3922-3931. (LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings).

UniMorph 3.0: Universal Morphology

Abstract

Publication series

Keywords

Other files and links

Fingerprint

Cite this