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We present our contribution to the SIGMORPHON 2019 Shared Task:Crosslinguality and Context in Morphology, Task 2: contextual morphologicalanalysis and lemmatization.  We submitted a modification of the UDPipe 2.0, one of best-performing systemsof the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to UniversalDependencies and an overall winner of the The 2018 Shared Task on ExtrinsicParser Evaluation.  As our first improvement, we use the pretrained contextualized embeddings(BERT) as additional inputs to the network; secondly, we use individualmorphological features as regularization; and finally, we merge the selectedcorpora of the same language.  In the lemmatization task, our system exceeds all the submitted systems by awide margin with lemmatization accuracy 95.78 (second best was 95.00, third94.46). In the morphological analysis, our system placed tightly second: ourmorphological analysis accuracy was 93.19, the winning system's 93.23.

UDPipe at SIGMORPHON 2019: Contextualized Embeddings, Regularization with Morphological Categories, Corpora Merging