UniMorph 4.0: Universal Morphology

• DOI: 10.48550/arxiv.2205.03608
• Publication Date: 2022-01-01
• Authors: Khuyagbaatar Bats...; Omer Goldman; Salam Khalifa; Nizar Habash; Witold Kieraś; Gabor Bella; Brian Leonard; Garrett Nicolai; Kyle Gorman; Yustinus Ghanggo Ate; Maria Ryskina; Sabrina J. Mielke; Elena Budianskaya; Charbel El-Khaissi; Tiago Pimentel; Michael Gasser; William Lane; Mohit Raj; Matt Coler; Jaime Rafael Mont...; Delio Siticonatzi...; Benoît Sagot; Esaú Zumaeta Rojas; Didier López Fra...; Arturo Oncevay; Juan López Bautista; Gema Celeste Silv...; Lucas Torroba Hen...; Adam Ek; David Guriel; Peter Dirix; Jean-Philippe Ber...; Andrey Scherbakov; Aziyana Bayyr-ool; Antonios Anastaso...; 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 Krizhanov...; 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 Wa...; 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 Nepomniashc...; Fausto Giunchiglia; Eleanor Chodroff; Mans Hulden; Miikka Silfverberg; Arya D. McCarthy; David Yarowsky; Ryan Cotterell; Reut Tsarfaty; Ekaterina Vylomova
• Keywords: FOS: Computer and information sciences; Computer Science - Computation and Language; Computer Science - Computation and Language; Computer Science - Computation and Language; 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology; Computation and Language (cs.CL)

LREC 2022; The first two authors made equal contributions<br/>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.<br/>