arXiv — NLP / Computation & Language · · 3 min read

Umm... With Transformers? Insights from Filled Pause Use across Four Slavic Parliaments

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Computer Science > Computation and Language

arXiv:2607.05964 (cs)
[Submitted on 7 Jul 2026]

Title:Umm... With Transformers? Insights from Filled Pause Use across Four Slavic Parliaments

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Abstract: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 gender effects are language-specific and directionally opposite to most prior literature. Novel analyses of sentiment, political orientation, and power status reveal a consistent positive association between sentiment and FP rate, alongside parliament-specific modulation by orientation and power status, with opposition speakers tending toward lower FP rates than governing coalition speakers.
Comments: 6 pages, 1 figure. Accepted at InterSpeech 2026. Code published: this https URL
Subjects: Computation and Language (cs.CL); Applications (stat.AP)
ACM classes: I.2.7; J.5
Cite as: arXiv:2607.05964 [cs.CL]
  (or arXiv:2607.05964v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2607.05964
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Ivan Porupski [view email]
[v1] Tue, 7 Jul 2026 08:02:23 UTC (158 KB)
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