Universal Dependencies

Marie-Catherine de Marneffe, Christopher D. Manning, Joakim Nivre, Daniel Zeman


Abstract
Universal dependencies (UD) is a framework for morphosyntactic annotation of human language, which to date has been used to create treebanks for more than 100 languages. In this article, we outline the linguistic theory of the UD framework, which draws on a long tradition of typologically oriented grammatical theories. Grammatical relations between words are centrally used to explain how predicate–argument structures are encoded morphosyntactically in different languages while morphological features and part-of-speech classes give the properties of words. We argue that this theory is a good basis for crosslinguistically consistent annotation of typologically diverse languages in a way that supports computational natural language understanding as well as broader linguistic studies.
Anthology ID:
2021.cl-2.11
Volume:
Computational Linguistics, Volume 47, Issue 2 - June 2021
Month:
June
Year:
2021
Address:
Cambridge, MA
Venue:
CL
SIG:
Publisher:
MIT Press
Note:
Pages:
255–308
Language:
URL:
https://preview.aclanthology.org/acl-awards-reasoning/2021.cl-2.11/
DOI:
10.1162/coli_a_00402
Award:
 Computational Linguistics High-Impact Paper Award
Universal Dependencies established a unified and cross-linguistically consistent framework for grammatical annotation, fundamentally shaping multilingual NLP research. By enabling scalable syntactic analysis across diverse languages, it catalyzed advances in cross-lingual transfer, multilingual modeling, and grammar-aware methods. Its widespread adoption as a foundational resource for multilingual research and evaluation reflects its exceptional scholarly impact and lasting influence on computational linguistics and natural language processing.
Bibkey:
Cite (ACL):
Marie-Catherine de Marneffe, Christopher D. Manning, Joakim Nivre, and Daniel Zeman. 2021. Universal Dependencies. Computational Linguistics, 47(2):255–308.
Cite (Informal):
Universal Dependencies (de Marneffe et al., CL 2021)
Copy Citation:
PDF:
https://preview.aclanthology.org/acl-awards-reasoning/2021.cl-2.11.pdf
Video:
 https://preview.aclanthology.org/acl-awards-reasoning/2021.cl-2.11.mp4