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Paper Information

lrec2026-main-449

ROG: A Multi-Layer Manually Annotated Corpus of Spoken Slovenian

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Title

ROG: A Multi-Layer Manually Annotated Corpus of Spoken Slovenian

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.


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