Inflected form prediction

The focus of the task is on morphological generation with sparse training data, something that can be practically useful for MT and other downstream tasks in NLP. Systems are given examples of inflected forms and asked to produce some other inflected form when given a lemma and a bundle of morphosyntactic features.

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.
Competition
CoNLL–SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection
Language
Spanish
English
NLP topic
morphology
Abstract task
Classification
Dataset
CoNLL-SIGMORPHON-ES
Year
2017
Publication link
https://aclanthology.org/K17-…
Ranking metric
Accuracy

Task results

If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.