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Transformers analyze filled pauses in Slavic parliamentary speech

By PulseAugur Editorial · [3 sources] ·

Researchers have utilized transformer-based models to analyze approximately 4,000 hours of parliamentary speech from four Slavic languages: Croatian, Czech, Polish, and Serbian. The study investigated the occurrence and rate of filled pauses (FPs), finding that age and speech rate negatively correlate with FP rate, while gender effects are language-specific. Additionally, sentiment showed a positive association with FP rate, with political orientation and power status modulating these effects within specific parliaments. AI

IMPACT Provides insights into applying transformer models for linguistic analysis in political discourse.

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Read on arXiv cs.CL →

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Transformers analyze filled pauses in Slavic parliamentary speech

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COVERAGE [3]

  1. arXiv cs.CL TIER_1 English(EN) · Ivan Porupski, Branimir Dropulji\'c, Nikola Ljube\v{s}i\'c ·

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

    arXiv:2607.05964v1 Announce Type: new 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…

  2. arXiv cs.CL TIER_1 English(EN) · Nikola Ljubešić ·

    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, Poli…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    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, Poli…

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