UniMorph 4.0: Universal Morphology
16367Authors
nan
Abstract
AbstractThe 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.
Keywords
Full Content
Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), pages 840–855 Marseille, 20-25 June 2022 © European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0 840 UniMorph 4.0: Universal Morphology Khuyagbaatar BatsurenW∗Omer Goldmanń∗ Salam KhalifaY Nizar Habashè Witold Kiera´sT Gábor BellaG Brian LeonardB Garrett Nicolaiá Kyle GormanN Yustinus Ghanggo AteÆ Maria Ryskinaì Sabrina MielkeZ Elena Budianskayaż Charbel El-KhaissiS Tiago PimentelQ Michael GasserP William LaneR Mohit RajU Matt Colerå Jaime Rafael Montoya SamameH Delio Siticonatzi CamaiteriJ Esaú Zumaeta RojasJ Didier López FrancisJ Arturo Oncevayď Juan López BautistaJ Gema Celeste Silva VillegasH Lucas Torroba HennigenQ Adam Ekä David Gurielń Peter DirixV Jean-Philippe Bernardyä Andrey Scherbakov@ Aziyana Bayyr-oolü Antonios Anastasopoulosê Roberto ZariquieyH Karina SheiferE,ż,Œ Sofya GanievaM,ż Hilaria Cruz3 Ritván KarahóˇgaÉ Stella MarkantonatouÉ George PavlidisÉ Matvey PlugaryovM,ż Elena KlyachkoE,ż Ali Salehiř Candy AnguloH Jatayu Baxi2 Andrew KrizhanovskyK Natalia KrizhanovskyK Elizabeth SaleskyZ Clara Vania5 Sardana Ivanova1 Jennifer WhiteQ Rowan Hall MaudslayQ Josef ValvodaQ Ran ZmigrodQ Paula CzarnowskaQ Irene NikkarinenQ Aelita Salchakù Brijesh Bhatt2 Christopher Straughnñ Zoey Liuť Jonathan North WashingtonF Yuval PinterG Duygu Ataman5 Marcin Woli´nskiT Totok Suhardijantoþ Anna YablonskayaE Niklas StoehrD Hossep DolatianY Zahroh Nuriahþ Shyam RatanU Francis M. TyersP,E Edoardo M. Pontiø Grant AitonS Aryaman Arorač Richard J. Hatcherř Ritesh KumarU Jeremiah Young9 Daria RodionovaE Anastasia YemelinaE Taras AndrushkoE Igor MarchenkoE Polina MashkovtsevaE Alexandra SerovaE Emily Prud’hommeauxť Maria NepomniashchayaE Fausto GiunchigliaG Eleanor Chodroff7 Mans HuldenX Miikka Silfverbergá Arya D. McCarthyZ David YarowskyZ Ryan CotterellD Reut Tsarfatyń Ekaterina Vylomova@ WNational University of Mongolia ńBar-Ilan University ZJohns Hopkins University GUniversity of Trento 7University of York ìCarnegie Mellon University BBrian Leonard Consulting PIndiana University áUniversity of British Columbia 2Dharmsinh Desai University èNew York University Abu Dhabi QUniversity of Cambridge äUniversity of Gothenburg 9University of Oregon SAustralian National University ÉILSP/Athena RC åUniversity of Groningen VKU Leuven 3University of Louisville ďUniversity of Edinburgh HPontificia Universidad Católica del Perú JUniversidad Católica Sedes Sapientiae, Filial Atalaya üInstitute of Philology of the Siberian Branch of the Russian Academy of Sciences MMoscow State University ťBoston College EHigher School of Economics żInstitute of Linguistics, Russian Academy of Sciences æUniversity of Zürich ÆSTKIP Weetebula ŒInstitute for System Programming, Russian Academy of Sciences řUniversity at Buffalo KKarelian Research Centre of the Russian Academy of Sciences FSwarthmore College CESRC International Centre for Language and Communicative Development(LuCiD) 5New York University ñNortheastern Illinois University 1University of Helsinki ùTuvan State University čGeorgetown University RCharles Darwin University TInstitute of Computer Science, Polish Academy of Sciences þUniversitas Indonesia YStony Brook University UDr. Bhimrao Ambedkar University øMila/McGill University Montreal XUniversity of Colorado Boulder LUniversity of Liverpool NGraduate Center, City University of New York êGeorge Mason University GBen-Gurion University of the Negev DETH Zürich @University of Melbourne khuyagbaatar@num.edu.mn omer.goldman@gmail.com vylomovae@unimelb.edu.au 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 …
Content truncated to 500 words
Labeled Text
AbstractThe 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.
Publication Details
- Paper ID:
- 16367
- Year:
- 2022
- Publication:
- TIPSTER
- Publication Type:
- conf
- DOI:
- nan