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We present an overview of the final results of the annotation task of the Emotions in Drama (EmoDrama) research project which are corpora of 18 historical German plays annotated with over 21,000 emotion annotations. We present distribution results, agreement statistics and discuss application areas of this unique corpora.

We present the design and implementation of an NLP pipeline for historical Austrian German (Nestroy's comedies, 1827-1862) including transcriptions of dialectal data. Lacking suitable training data, we created a meta-model that compares the predictions of existing models trained on Modern Standard Germany-German corpora, and calculates a compromise between them.

The multilingual DraCor platform (https://www.dracor.org) represents a valuable resource for literature and theatre scholars, allowing them to host, access and analyse thousands of plays from Antiquity to the XX century. After briefly presenting the workflow for the ingestion of new plays into our ecosystem, we focus on the collaborative side of our endeavours, demonstrating how external scholars can benefit from a range of tools and guides to easily prepare and submit their own collections. As a showcase of the process, we present three corpora currently in production, focusing respectively on Ukrainian, Czech, and Early Modern English literature.