The task consists on training a system with complete inflectional paradigms in order to predict missing forms in partially filled paradigms (paradigms with significant gaps in them) at test time.
Publication
Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, Sandra Kübler, David Yarowsky, Jason Eisner, and Mans Hulden. 2017. CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages. In Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, pages 1–30, Vancouver. Association for Computational Linguistics.
Language
Spanish
English
NLP topic
Dataset
Year
2017
Publication link
Task results
| System | Accuracy Sort ascending |
|---|---|
| LMU-2 | 0.9853 |

