UniMorph 4.0: Universal Morphology
Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa, Nizar Habash, Witold Kieraś, Gábor Bella, Brian Leonard, Garrett Nicolai, Kyle Gorman, Yustinus Ghanggo Ate, Maria Ryskina, Sabrina Mielke, Elena Budianskaya, Charbel El-Khaissi, Tiago Pimentel, Michael Gasser, William Abbott Lane, Mohit Raj, Matt Coler, Jaime Rafael Montoya Samame, Delio Siticonatzi Camaiteri, Esaú Zumaeta Rojas, Didier López Francis, Arturo Oncevay, Juan López Bautista, Gema Celeste Silva Villegas, Lucas Torroba Hennigen, Adam Ek, David Guriel, Peter Dirix, Jean-Philippe Bernardy, Andrey Scherbakov, Aziyana Bayyr-ool, Antonios Anastasopoulos, Roberto Zariquiey, Karina Sheifer, Sofya Ganieva, Hilaria Cruz, Ritván Karahóǧa, Stella Markantonatou, George Pavlidis, Matvey Plugaryov, Elena Klyachko, Ali Salehi, Candy Angulo, Jatayu Baxi, Andrew Krizhanovsky, Natalia Krizhanovskaya, Elizabeth Salesky, Clara Vania, Sardana Ivanova, Jennifer White, Rowan Hall Maudslay, Josef Valvoda, Ran Zmigrod, Paula Czarnowska, Irene Nikkarinen, Aelita Salchak, Brijesh Bhatt, Christopher Straughn, Zoey Liu, Jonathan North Washington, Yuval Pinter, Duygu Ataman, Marcin Wolinski, Totok Suhardijanto, Anna Yablonskaya, Niklas Stoehr, Hossep Dolatian, Zahroh Nuriah, Shyam Ratan, Francis M. Tyers, Edoardo M. Ponti, Grant Aiton, Aryaman Arora, Richard J. Hatcher, Ritesh Kumar, Jeremiah Young, Daria Rodionova, Anastasia Yemelina, Taras Andrushko, Igor Marchenko, Polina Mashkovtseva, Alexandra Serova, Emily Prud’hommeaux, Maria Nepomniashchaya, Fausto Giunchiglia, Eleanor Chodroff, Mans Hulden, Miikka Silfverberg, Arya D. McCarthy, David Yarowsky, Ryan Cotterell, Reut Tsarfaty, Ekaterina Vylomova
Abstract
The Universal Morphology (UniMorph) project is a collaborative effort providing broad-coverage instantiated normalized morphological inflection tables 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. This paper presents the expansions and improvements on several fronts that were made in the last couple of years (since McCarthy et al. (2020)). Collaborative efforts by numerous linguists have added 66 new languages, including 24 endangered languages. We have implemented several improvements to the extraction pipeline to tackle some issues, e.g., missing gender and macrons information. We have amended the schema to use a hierarchical structure that is needed for morphological phenomena like multiple-argument agreement and case stacking, while adding some missing morphological features to make the schema more inclusive. In light of the last UniMorph release, we also augmented the database with morpheme segmentation for 16 languages. Lastly, this new release makes a push towards inclusion of derivational morphology in UniMorph by enriching the data and annotation schema with instances representing derivational processes from MorphyNet.- Anthology ID:
- 2022.lrec-1.89
- Volume:
- Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 840–855
- Language:
- URL:
- https://aclanthology.org/2022.lrec-1.89
- DOI:
- Bibkey:
- Cite (ACL):
- Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa, Nizar Habash, Witold Kieraś, Gábor Bella, Brian Leonard, Garrett Nicolai, Kyle Gorman, Yustinus Ghanggo Ate, Maria Ryskina, Sabrina Mielke, Elena Budianskaya, Charbel El-Khaissi, Tiago Pimentel, Michael Gasser, William Abbott Lane, Mohit Raj, Matt Coler, et al.. 2022. UniMorph 4.0: Universal Morphology. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 840–855, Marseille, France. European Language Resources Association.
- Cite (Informal):
- UniMorph 4.0: Universal Morphology (Batsuren et al., LREC 2022)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.lrec-1.89.pdf
- Data
- UniMorph 4.0, Universal Dependencies
Export citation
@inproceedings{batsuren-etal-2022-unimorph,
title = "{U}ni{M}orph 4.0: {U}niversal {M}orphology",
author = "Batsuren, Khuyagbaatar and
Goldman, Omer and
Khalifa, Salam and
Habash, Nizar and
Kiera{\'s}, Witold and
Bella, G{\'a}bor and
Leonard, Brian and
Nicolai, Garrett and
Gorman, Kyle and
Ate, Yustinus Ghanggo and
Ryskina, Maria and
Mielke, Sabrina and
Budianskaya, Elena and
El-Khaissi, Charbel and
Pimentel, Tiago and
Gasser, Michael and
Lane, William Abbott and
Raj, Mohit and
Coler, Matt and
Samame, Jaime Rafael Montoya and
Camaiteri, Delio Siticonatzi and
Rojas, Esa{\'u} Zumaeta and
L{\'o}pez Francis, Didier and
Oncevay, Arturo and
L{\'o}pez Bautista, Juan and
Villegas, Gema Celeste Silva and
Hennigen, Lucas Torroba and
Ek, Adam and
Guriel, David and
Dirix, Peter and
Bernardy, Jean-Philippe and
Scherbakov, Andrey and
Bayyr-ool, Aziyana and
Anastasopoulos, Antonios and
Zariquiey, Roberto and
Sheifer, Karina and
Ganieva, Sofya and
Cruz, Hilaria and
Karah{\'o}{\v{g}}a, Ritv{\'a}n and
Markantonatou, Stella and
Pavlidis, George and
Plugaryov, Matvey and
Klyachko, Elena and
Salehi, Ali and
Angulo, Candy and
Baxi, Jatayu and
Krizhanovsky, Andrew and
Krizhanovskaya, Natalia and
Salesky, Elizabeth and
Vania, Clara and
Ivanova, Sardana and
White, Jennifer and
Maudslay, Rowan Hall and
Valvoda, Josef and
Zmigrod, Ran and
Czarnowska, Paula and
Nikkarinen, Irene and
Salchak, Aelita and
Bhatt, Brijesh and
Straughn, Christopher and
Liu, Zoey and
Washington, Jonathan North and
Pinter, Yuval and
Ataman, Duygu and
Wolinski, Marcin and
Suhardijanto, Totok and
Yablonskaya, Anna and
Stoehr, Niklas and
Dolatian, Hossep and
Nuriah, Zahroh and
Ratan, Shyam and
Tyers, Francis M. and
Ponti, Edoardo M. and
Aiton, Grant and
Arora, Aryaman and
Hatcher, Richard J. and
Kumar, Ritesh and
Young, Jeremiah and
Rodionova, Daria and
Yemelina, Anastasia and
Andrushko, Taras and
Marchenko, Igor and
Mashkovtseva, Polina and
Serova, Alexandra and
Prud{'}hommeaux, Emily and
Nepomniashchaya, Maria and
Giunchiglia, Fausto and
Chodroff, Eleanor and
Hulden, Mans and
Silfverberg, Miikka and
McCarthy, Arya D. and
Yarowsky, David and
Cotterell, Ryan and
Tsarfaty, Reut and
Vylomova, Ekaterina",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.89",
pages = "840--855",
abstract = "The Universal Morphology (UniMorph) project is a collaborative effort providing broad-coverage instantiated normalized morphological inflection tables 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. This paper presents the expansions and improvements on several fronts that were made in the last couple of years (since McCarthy et al. (2020)). Collaborative efforts by numerous linguists have added 66 new languages, including 24 endangered languages. We have implemented several improvements to the extraction pipeline to tackle some issues, e.g., missing gender and macrons information. We have amended the schema to use a hierarchical structure that is needed for morphological phenomena like multiple-argument agreement and case stacking, while adding some missing morphological features to make the schema more inclusive. In light of the last UniMorph release, we also augmented the database with morpheme segmentation for 16 languages. Lastly, this new release makes a push towards inclusion of derivational morphology in UniMorph by enriching the data and annotation schema with instances representing derivational processes from MorphyNet.",
}
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<abstract>The Universal Morphology (UniMorph) project is a collaborative effort providing broad-coverage instantiated normalized morphological inflection tables 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. This paper presents the expansions and improvements on several fronts that were made in the last couple of years (since McCarthy et al. (2020)). Collaborative efforts by numerous linguists have added 66 new languages, including 24 endangered languages. We have implemented several improvements to the extraction pipeline to tackle some issues, e.g., missing gender and macrons information. We have amended the schema to use a hierarchical structure that is needed for morphological phenomena like multiple-argument agreement and case stacking, while adding some missing morphological features to make the schema more inclusive. In light of the last UniMorph release, we also augmented the database with morpheme segmentation for 16 languages. Lastly, this new release makes a push towards inclusion of derivational morphology in UniMorph by enriching the data and annotation schema with instances representing derivational processes from MorphyNet.</abstract>
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%0 Conference Proceedings %T UniMorph 4.0: Universal Morphology %A Batsuren, Khuyagbaatar %A Goldman, Omer %A Khalifa, Salam %A Habash, Nizar %A Kieraś, Witold %A Bella, Gábor %A Leonard, Brian %A Nicolai, Garrett %A Gorman, Kyle %A Ate, Yustinus Ghanggo %A Ryskina, Maria %A Mielke, Sabrina %A Budianskaya, Elena %A El-Khaissi, Charbel %A Pimentel, Tiago %A Gasser, Michael %A Lane, William Abbott %A Raj, Mohit %A Coler, Matt %A Samame, Jaime Rafael Montoya %A Camaiteri, Delio Siticonatzi %A Rojas, Esaú Zumaeta %A López Francis, Didier %A Oncevay, Arturo %A López Bautista, Juan %A Villegas, Gema Celeste Silva %A Hennigen, Lucas Torroba %A Ek, Adam %A Guriel, David %A Dirix, Peter %A Bernardy, Jean-Philippe %A Scherbakov, Andrey %A Bayyr-ool, Aziyana %A Anastasopoulos, Antonios %A Zariquiey, Roberto %A Sheifer, Karina %A Ganieva, Sofya %A Cruz, Hilaria %A Karahóǧa, Ritván %A Markantonatou, Stella %A Pavlidis, George %A Plugaryov, Matvey %A Klyachko, Elena %A Salehi, Ali %A Angulo, Candy %A Baxi, Jatayu %A Krizhanovsky, Andrew %A Krizhanovskaya, Natalia %A Salesky, Elizabeth %A Vania, Clara %A Ivanova, Sardana %A White, Jennifer %A Maudslay, Rowan Hall %A Valvoda, Josef %A Zmigrod, Ran %A Czarnowska, Paula %A Nikkarinen, Irene %A Salchak, Aelita %A Bhatt, Brijesh %A Straughn, Christopher %A Liu, Zoey %A Washington, Jonathan North %A Pinter, Yuval %A Ataman, Duygu %A Wolinski, Marcin %A Suhardijanto, Totok %A Yablonskaya, Anna %A Stoehr, Niklas %A Dolatian, Hossep %A Nuriah, Zahroh %A Ratan, Shyam %A Tyers, Francis M. %A Ponti, Edoardo M. %A Aiton, Grant %A Arora, Aryaman %A Hatcher, Richard J. %A Kumar, Ritesh %A Young, Jeremiah %A Rodionova, Daria %A Yemelina, Anastasia %A Andrushko, Taras %A Marchenko, Igor %A Mashkovtseva, Polina %A Serova, Alexandra %A Prud’hommeaux, Emily %A Nepomniashchaya, Maria %A Giunchiglia, Fausto %A Chodroff, Eleanor %A Hulden, Mans %A Silfverberg, Miikka %A McCarthy, Arya D. %A Yarowsky, David %A Cotterell, Ryan %A Tsarfaty, Reut %A Vylomova, Ekaterina %Y Calzolari, Nicoletta %Y Béchet, Frédéric %Y Blache, Philippe %Y Choukri, Khalid %Y Cieri, Christopher %Y Declerck, Thierry %Y Goggi, Sara %Y Isahara, Hitoshi %Y Maegaard, Bente %Y Mariani, Joseph %Y Mazo, Hélène %Y Odijk, Jan %Y Piperidis, Stelios %S Proceedings of the Thirteenth Language Resources and Evaluation Conference %D 2022 %8 June %I European Language Resources Association %C Marseille, France %F batsuren-etal-2022-unimorph %X The Universal Morphology (UniMorph) project is a collaborative effort providing broad-coverage instantiated normalized morphological inflection tables 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. This paper presents the expansions and improvements on several fronts that were made in the last couple of years (since McCarthy et al. (2020)). Collaborative efforts by numerous linguists have added 66 new languages, including 24 endangered languages. We have implemented several improvements to the extraction pipeline to tackle some issues, e.g., missing gender and macrons information. We have amended the schema to use a hierarchical structure that is needed for morphological phenomena like multiple-argument agreement and case stacking, while adding some missing morphological features to make the schema more inclusive. In light of the last UniMorph release, we also augmented the database with morpheme segmentation for 16 languages. Lastly, this new release makes a push towards inclusion of derivational morphology in UniMorph by enriching the data and annotation schema with instances representing derivational processes from MorphyNet. %U https://aclanthology.org/2022.lrec-1.89 %P 840-855
Markdown (Informal)
[UniMorph 4.0: Universal Morphology](https://aclanthology.org/2022.lrec-1.89) (Batsuren et al., LREC 2022)
- UniMorph 4.0: Universal Morphology (Batsuren et al., LREC 2022)
ACL
- Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa, Nizar Habash, Witold Kieraś, Gábor Bella, Brian Leonard, Garrett Nicolai, Kyle Gorman, Yustinus Ghanggo Ate, Maria Ryskina, Sabrina Mielke, Elena Budianskaya, Charbel El-Khaissi, Tiago Pimentel, Michael Gasser, William Abbott Lane, Mohit Raj, Matt Coler, et al.. 2022. UniMorph 4.0: Universal Morphology. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 840–855, Marseille, France. European Language Resources Association.