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The CoNLL--SIGMORPHON 2018 shared task on supervised learning ofmorphological generation featured data sets from 103 typologically diverselanguages. Apart from extending the number of languages involved in earliersupervised tasks of generating inflected forms, this year the shared task alsofeatured a new second task which asked participants to inflect words insentential context, similar to a cloze task. This second task featured sevenlanguages. Task 1 received 27 submissions and task 2 received 6 submissions.Both tasks featured a low, medium, and high data condition. Nearly allsubmissions featured a neural component and built on highly-ranked systems fromthe earlier 2017 shared task. In the inflection task (task 1), 41 of the 52languages present in last year's inflection task showed improvement by the bestsystems in the low-resource setting. The cloze task (task 2) proved to bedifficult, and few submissions managed to consistently improve upon both asimple neural baseline system and a lemma-repeating baseline.

The CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection