Treebanking Spoken Slovenian: New Data, Models, and Lessons Learned
Treebanking Spoken Slovenian: New Data, Models, and Lessons Learned

Summary/Abstract: This paper presents a new version of the Spoken Slovenian Treebank (SST), a balanced and representative collection of transcribed spontaneous speech with manually annotated lemmas, part-of-speech tags, morphological features, and syntactic dependencies, recently expanded with over 3,000 newly annotated utterances. After a brief overview of the data sampling, annotation, and consolidation processes—presented in detail in previous work—we evaluate the significance of this new language resource for both linguistic research and natural language processing by first highlighting its distinctive lexical and morphosyntactic features in comparison to writing, and then assessing their impact on the performance of tools for automatic grammatical annotation. Finally, we reflect on the methodological insights gained during treebank creation, discuss the potential of SST for advancing spoken language research, and argue for the necessity of such resources in supporting linguistic diversity in language technology.

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