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 made on several fronts over the last couple of years (since McCarthy et al. (2020)). Collaborative efforts by numerous linguists have added 67 new languages, including 30 endangered languages. We have implemented several improvements to the extraction pipeline to tackle some issues, e.g. missing gender and macron information. We have also 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.

UniMorph 4.0: Universal Morphology / Batsuren, Khuyagbaatar; Goldman, Omer; Khalifa, Salam; Habash, Nizar; Kieraś, Witold; Bella, Gabor; Leonard, Brian; Nicolai, Garrett; Gorman, Kyle; Ghanggo Ate, Yustinus; Ryskina, Maria; Mielke, Sabrina J.; Budianskaya, Elena; El-Khaissi, Charbel; Pimentel, Tiago; Gasser, Michael; Lane, William; Raj, Mohit; Coler, Matt; Rafael Montoya Samame, Jaime; Siticonatzi Camaiteri, Delio; Sagot, Benoît; Zumaeta Rojas, Esaú; López Francis, Didier; Oncevay, Arturo; López Bautista, Juan; Celeste Silva Villegas, Gema; Torroba Hennigen, Lucas; Ek, Adam; Guriel, David; Dirix, Peter; Bernardy, Jean-Philippe; Scherbakov, Andrey; Bayyr-ool, Aziyana; Anastasopoulos, Antonios; Zariquiey, Roberto; Sheifer, Karina; Ganieva, Sofya; Cruz, Hilaria; Karahóǧa, Ritván; Markantonatou, Stella; Pavlidis, George; Plugaryov, Matvey; Klyachko, Elena; Salehi, Ali; Angulo, Candy; Baxi, Jatayu; Krizhanovsky, Andrew; Krizhanovskaya, Natalia; Salesky, Elizabeth; Vania, Clara; Ivanova, Sardana; White, Jennifer; Hall Maudslay, Rowan; Valvoda, Josef; Zmigrod, Ran; Czarnowska, Paula; Nikkarinen, Irene; Salchak, Aelita; Bhatt, Brijesh; Straughn, Christopher; Liu, Zoey; North Washington, Jonathan; Pinter, Yuval; Ataman, Duygu; Wolinski, Marcin; Suhardijanto, Totok; Yablonskaya, Anna; Stoehr, Niklas; Dolatian, Hossep; Nuriah, Zahroh; Ratan, Shyam; Tyers, Francis M.; Ponti, Edoardo M.; Aiton, Grant; Arora, Aryaman; Hatcher, Richard J.; Kumar, Ritesh; Young, Jeremiah; Rodionova, Daria; Yemelina, Anastasia; Andrushko, Taras; Marchenko, Igor; Mashkovtseva, Polina; Serova, Alexandra; Prud'Hommeaux, Emily; Nepomniashchaya, Maria; Giunchiglia, Fausto; Chodroff, Eleanor; Hulden, Mans; Silfverberg, Miikka; Mccarthy, Arya D.; Yarowsky, David; Cotterell, Ryan; Tsarfaty, Reut; Vylomova, Ekaterina. - (2022). (Intervento presentato al convegno LREC tenutosi a Marseille, France nel June 2022).

UniMorph 4.0: Universal Morphology

Khuyagbaatar Batsuren;Gabor Bella;Duygu Ataman;Fausto Giunchiglia;
2022-01-01

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 made on several fronts over the last couple of years (since McCarthy et al. (2020)). Collaborative efforts by numerous linguists have added 67 new languages, including 30 endangered languages. We have implemented several improvements to the extraction pipeline to tackle some issues, e.g. missing gender and macron information. We have also 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.
2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Marseille, France
European Language Resources Association
Batsuren, Khuyagbaatar; Goldman, Omer; Khalifa, Salam; Habash, Nizar; Kieraś, Witold; Bella, Gabor; Leonard, Brian; Nicolai, Garrett; Gorman, Kyle; Gh...espandi
UniMorph 4.0: Universal Morphology / Batsuren, Khuyagbaatar; Goldman, Omer; Khalifa, Salam; Habash, Nizar; Kieraś, Witold; Bella, Gabor; Leonard, Brian; Nicolai, Garrett; Gorman, Kyle; Ghanggo Ate, Yustinus; Ryskina, Maria; Mielke, Sabrina J.; Budianskaya, Elena; El-Khaissi, Charbel; Pimentel, Tiago; Gasser, Michael; Lane, William; Raj, Mohit; Coler, Matt; Rafael Montoya Samame, Jaime; Siticonatzi Camaiteri, Delio; Sagot, Benoît; Zumaeta Rojas, Esaú; López Francis, Didier; Oncevay, Arturo; López Bautista, Juan; Celeste Silva Villegas, Gema; Torroba Hennigen, Lucas; Ek, Adam; Guriel, David; Dirix, Peter; Bernardy, Jean-Philippe; Scherbakov, Andrey; Bayyr-ool, Aziyana; Anastasopoulos, Antonios; Zariquiey, Roberto; Sheifer, Karina; Ganieva, Sofya; Cruz, Hilaria; Karahóǧa, Ritván; Markantonatou, Stella; Pavlidis, George; Plugaryov, Matvey; Klyachko, Elena; Salehi, Ali; Angulo, Candy; Baxi, Jatayu; Krizhanovsky, Andrew; Krizhanovskaya, Natalia; Salesky, Elizabeth; Vania, Clara; Ivanova, Sardana; White, Jennifer; Hall Maudslay, Rowan; Valvoda, Josef; Zmigrod, Ran; Czarnowska, Paula; Nikkarinen, Irene; Salchak, Aelita; Bhatt, Brijesh; Straughn, Christopher; Liu, Zoey; North Washington, Jonathan; Pinter, Yuval; Ataman, Duygu; Wolinski, Marcin; Suhardijanto, Totok; Yablonskaya, Anna; Stoehr, Niklas; Dolatian, Hossep; Nuriah, Zahroh; Ratan, Shyam; Tyers, Francis M.; Ponti, Edoardo M.; Aiton, Grant; Arora, Aryaman; Hatcher, Richard J.; Kumar, Ritesh; Young, Jeremiah; Rodionova, Daria; Yemelina, Anastasia; Andrushko, Taras; Marchenko, Igor; Mashkovtseva, Polina; Serova, Alexandra; Prud'Hommeaux, Emily; Nepomniashchaya, Maria; Giunchiglia, Fausto; Chodroff, Eleanor; Hulden, Mans; Silfverberg, Miikka; Mccarthy, Arya D.; Yarowsky, David; Cotterell, Ryan; Tsarfaty, Reut; Vylomova, Ekaterina. - (2022). (Intervento presentato al convegno LREC tenutosi a Marseille, France nel June 2022).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/369579
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