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.

SIGMORPHON 2019共享任务关注跨语言转移和上下文形态学分析，研究传递学习和上下文词形还原在66种语言中的应用，同时在100种语言对中考察了词缀的转移，所有的提交中都具备了神经元件。

SIGMORPHON 2019共享任务：语境中的形态分析和屈折的跨语言转移