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    <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.</abstract>
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%0 Conference Proceedings
%T ROG: A Multi-Layer Manually Annotated Corpus of Spoken Slovenian
%A Dobrovoljc Zor, Kaja
%A Verdonik, Darinka
%A Čibej, Jaka
%A Rupnik, Peter
%A Ljubešić, Nikola
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F dobrovoljc-zor-etal-2026-rog
%X 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.
%R 10.63317/44np3dvumisj
%U https://aclanthology.org/2026.lrec-1.449/
%U https://doi.org/10.63317/44np3dvumisj
%P 5701-5710

Markdown (Informal)

[ROG: A Multi-Layer Manually Annotated Corpus of Spoken Slovenian](https://aclanthology.org/2026.lrec-1.449/) (Dobrovoljc Zor et al., LREC 2026)

• ROG: A Multi-Layer Manually Annotated Corpus of Spoken Slovenian (Dobrovoljc Zor et al., LREC 2026)

ACL

• Kaja Dobrovoljc Zor, Darinka Verdonik, Jaka Čibej, Peter Rupnik, and Nikola Ljubešić. 2026. ROG: A Multi-Layer Manually Annotated Corpus of Spoken Slovenian. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 5701–5710, Palma de Mallorca, Spain. ELRA Language Resource Association.