The SIGMORPHON 2019 shared task on cross-lingual transfer and contextual
analysis in morphology examined transfer learning of inflection between 100
language pairs, as well as contextual lemmatization and morphosyntactic
description in 66 languages. The first task evolves past years' inflection
tasks by examining transfer of morphological inflection knowledge from a
high-resource language to a low-resource language. This year also presents a
new second challenge on lemmatization and morphological feature analysis in
context. All submissions featured a neural component and built on either this
year's strong baselines or highly ranked systems from previous years' shared
tasks. Every participating team improved in accuracy over the baselines for the
inflection task (though not Levenshtein distance), and every team in the
contextual analysis task improved on both state-of-the-art neural and
non-neural baselines.Comment: Presented at SIGMORPHON 201