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Information Load Predicts Stuttering Events.

Haley J Warner1, Nan Bernstein Ratner2, Eric S Jackson1

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Higher information load in words increases stuttering likelihood. This suggests communicative demands, not just severity, influence stuttering variability in spontaneous speech.

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Area of Science:

  • Speech and Language Pathology
  • Computational Linguistics

Background:

  • Stuttering variability is a complex phenomenon.
  • Information load, measured by word predictability, is a potential factor influencing stuttering.
  • Word surprisal quantifies information load based on linguistic context.

Purpose of the Study:

  • To investigate if words with higher information load (word surprisal) are more prone to stuttering.
  • To control for linguistic variables affecting stuttering.
  • To examine if stuttering severity and impact moderate the relationship between word surprisal and stuttering.

Main Methods:

  • Analysis of spontaneous speech from 35 adults who stutter (FluencyBank corpus).
  • Computation of word surprisal using Generative Pretrained Transformer 2 (GPT-2).
  • Statistical control for six linguistic predictors of stuttering and moderation analysis with severity/impact measures.

Main Results:

  • Increased word surprisal significantly predicted a higher likelihood of stuttering.
  • Linguistic covariates were controlled for in the analysis.
  • No significant moderation effect of stuttering severity or impact was found.

Conclusions:

  • Higher information load in words contributes to stuttering events during spontaneous speech.
  • This may be due to increased cognitive or communicative demands of high-surprisal words.
  • Individual differences in managing communicative pressure, not solely clinical severity, likely shape stuttering patterns.