  We present CLASSLA-Stanza, a pipeline for automatic linguistic annotation of
the South Slavic languages, which is based on the Stanza natural language
processing pipeline. We describe the main improvements in CLASSLA-Stanza with
respect to Stanza, and give a detailed description of the model training
process for the latest 2.1 release of the pipeline. We also report performance
scores produced by the pipeline for different languages and varieties.
CLASSLA-Stanza exhibits consistently high performance across all the supported
languages and outperforms or expands its parent pipeline Stanza at all the
supported tasks. We also present the pipeline's new functionality enabling
efficient processing of web data and the reasons that led to its
implementation.
