Umm... With Transformers? Insights from Filled Pause Use across Four Slavic Parliaments
Filled pauses (FPs) are a universal feature of spontaneous speech, yet most studies rely on small, single-language corpora, limiting the generalisability of their findings. We analyse ~4,000 hours of parliamentary speech across four related Slavic languages (Croatian, Czech, Polish, Serbian). FP occurrence is obtained via transformer-based automatic detection, while FP rate is modelled using Generalised Estimating Equations (GEE) with Mundlak correction to distinguish within- from between- speaker effects. We replicate a negative association of age and speech rate with FP rate, but find that g
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- PossiblePossibly related (embedding) · 48%EuroEval/EuroEval →
- PossiblePossibly related (embedding) · 46%Scaling Properties of Continuous Diffusion Spoken Language Models - Apple Machine Learning Research →
- PossiblePossibly related (embedding) · 46%Transformer →
- LinkedLinked via arxiv author · 85%Ivan Porupski →
“Umm... With Transformers? Insights from Filled Pause Use across Four Slavic Parliaments”
- LinkedLinked via arxiv author · 85%Branimir Dropuljić →
“Umm... With Transformers? Insights from Filled Pause Use across Four Slavic Parliaments”
- LinkedLinked via arxiv author · 85%Nikola Ljubešić →
“Umm... With Transformers? Insights from Filled Pause Use across Four Slavic Parliaments”
- FuzzySimilar title/name (fuzzy) · 87%lucidrains/x-transformers →
“Fuzzy title match (0.94): “Umm... With Transformers? Insights from Filled Pause Use acr” ≈ “lucidrains/x-transformers””
- FuzzySimilar title/name (fuzzy) · 84%huggingface/transformers →
“Fuzzy title match (0.92): “Umm... With Transformers? Insights from Filled Pause Use acr” ≈ “huggingface/transformers””