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Noise resistance in communication: Quantifying uniformity and optimality.

Christine Cuskley1, Rachael Bailes1, Joel Wallenberg1

  • 1Centre for Behaviour and Evolution, Linguistics Section, Newcastle University, Newcastle upon Tyne, UK.

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Speakers aim for even information distribution in language to enhance clarity and reduce noise. New metrics, DORM and UIDO, quantify this uniformity and its impact on noise resistance.

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Area of Science:

  • Linguistics
  • Information Theory
  • Computational Linguistics

Background:

  • Research suggests speakers distribute information evenly in utterances to improve robustness against noise.
  • Previous studies focused on limited linguistic domains and rarely tested noise resistance directly.
  • Existing work often overlooks information density across entire utterances.

Purpose of the Study:

  • To introduce a new statistic, DORM, for quantifying information uniformity across entire utterances.
  • To develop an algorithm, UIDO, for measuring the contribution of element order to information uniformity.
  • To investigate the relationship between information uniformity and noise resistance in spoken language.

Main Methods:

  • Developed a descriptive statistic (DORM) to measure information uniformity.
  • Created an algorithm (UIDO) to isolate the effect of element order on uniformity.
  • Utilized a simulation with an English corpus to test the proposed metrics.

Main Results:

  • Demonstrated that utterances with more uniform information distributions are more robust against noise.
  • Quantified the contribution of element order to information uniformity using UIDO.
  • Showcased the utility of DORM in analyzing information distribution patterns.

Conclusions:

  • Information uniformity, influenced by element order, plays a crucial role in making language robust to noise.
  • The DORM statistic and UIDO algorithm provide novel tools for analyzing linguistic information distribution.
  • Findings support the hypothesis that speakers optimize utterances for clarity and resilience in noisy conditions.