ROG: A Multi-Layer Manually Annotated Corpus of Spoken Slovenian
Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026)
Abstract
We present ROG, the first manually annotated spoken corpus of Slovenian to integrate morphosyntactic, prosodic, and interactional layers in a unified framework. Building on the pre-existing Spoken Slovenian Treebank (SST) and newly available recordings from the GOS 2 reference corpus, the resource combines over 75,000 words (10 hours) of annotated speech. The entire corpus features lemmatization, MULTEXT-East morphosyntax, and Universal Dependencies annotations, while approximately half includes additional layers for prosodic units, disfluencies, and dialogue acts. All annotation layers are systematically aligned and cross-referenced, enabling detailed multi-dimensional analyses of spoken language. We describe the corpus design, annotation workflow, data release, and baseline modeling results, showcasing the resource’s value for both linguistic analysis and speech-aware NLP model development. All ROG transcriptions and annotations, along with half of the audio recordings, are freely available under CC-BY via (anonymized) repository.