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Evidence for systematic semantic structure in individual phonemes

Gexin Zhao · Mar 18, 2026 · Citations: 0

General Pairwise Preference
Open arXiv Find Implementation RSS feed Shortlist (0)

How to use this page

Low trust

Use this as background context only. Do not make protocol decisions from this page alone.

Best use

Background context only

What to verify

Read the full paper before copying any benchmark, metric, or protocol choices.

Evidence quality

Low

Derived from extracted protocol signals and abstract evidence.

Abstract

A foundational assumption in linguistics holds that sound-meaning relations are largely arbitrary. Here we show that this assumption fails at the level of individual phonemes: each English phoneme carries a structured, multidimensional semantic profile that is recoverable from text, perceived across languages, and grounded in articulation. Three large language models independently detected consistent semantic structure across nine perceptual dimensions in 220 pairwise letter contrasts. Native English speakers (N = 93) confirmed these associations in a preregistered forced-choice task (85.3% agreement with model predictions), and listeners of five typologically diverse languages (N = 155) replicated the effect under audio presentation (73.2%-81.9% accuracy). Articulatory features predicted the structure with cross-validated R^2 of 0.56-0.98, indicating that the bodily act of producing a sound systematically shapes the meaning it conveys. These findings reframe phoneme-level iconicity as a pervasive, embodied property of the phonological system.

Low-signal caution for protocol decisions

Use this page for context, then validate protocol choices against stronger HFEPX references before implementation decisions.

  • The available metadata is too thin to trust this as a primary source.
  • The abstract does not clearly describe the evaluation setup.
  • The abstract does not clearly name benchmarks or metrics.
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Should You Rely On This Paper?

This paper is adjacent to HFEPX scope and is best used for background context, not as a primary protocol reference.

Best use

Background context only

Use if you need

Background context only.

Main weakness

The available metadata is too thin to trust this as a primary source.

Trust level

Low

Usefulness score

40/100 • Low

Treat as adjacent context, not a core eval-method reference.

Human Feedback Signal

Detected

Evaluation Signal

Weak / implicit signal

Usefulness for eval research

Adjacent candidate

Extraction confidence 45%

If you are doing eval pipeline work, start here:

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What We Could Verify

These are the protocol signals we could actually recover from the available paper metadata. Use them to decide whether this paper is worth deeper reading.

Human Feedback Types

partial

Pairwise Preference

Directly usable for protocol triage.

"A foundational assumption in linguistics holds that sound-meaning relations are largely arbitrary."

Evaluation Modes

missing

None explicit

Validate eval design from full paper text.

"A foundational assumption in linguistics holds that sound-meaning relations are largely arbitrary."

Quality Controls

missing

Not reported

No explicit QC controls found.

"A foundational assumption in linguistics holds that sound-meaning relations are largely arbitrary."

Benchmarks / Datasets

missing

Not extracted

No benchmark anchors detected.

"A foundational assumption in linguistics holds that sound-meaning relations are largely arbitrary."

Reported Metrics

missing

Not extracted

No metric anchors detected.

"A foundational assumption in linguistics holds that sound-meaning relations are largely arbitrary."

Human Feedback Details

  • Uses human feedback: Yes
  • Feedback types: Pairwise Preference
  • Rater population: Not reported
  • Unit of annotation: Pairwise (inferred)
  • Expertise required: General

Evaluation Details

  • Evaluation modes:
  • Agentic eval: None
  • Quality controls: Not reported
  • Evidence quality: Low
  • Use this page as: Background context only

Protocol And Measurement Signals

Benchmarks / Datasets

No benchmark or dataset names were extracted from the available abstract.

Reported Metrics

No metric terms were extracted from the available abstract.

Research Brief

Metadata summary

A foundational assumption in linguistics holds that sound-meaning relations are largely arbitrary.

Based on abstract + metadata only. Check the source paper before making high-confidence protocol decisions.

Key Takeaways

  • A foundational assumption in linguistics holds that sound-meaning relations are largely arbitrary.
  • Here we show that this assumption fails at the level of individual phonemes: each English phoneme carries a structured, multidimensional semantic profile that is recoverable from text, perceived across languages, and grounded in articulation.
  • Three large language models independently detected consistent semantic structure across nine perceptual dimensions in 220 pairwise letter contrasts.

Researcher Actions

  • Compare this paper against nearby papers in the same arXiv category before using it for protocol decisions.
  • Validate inferred eval signals (Automatic metrics) against the full paper.
  • Use related-paper links to find stronger protocol-specific references.

Caveats

  • Generated from abstract + metadata only; no PDF parsing.
  • Signals below are heuristic and may miss details reported outside the abstract.

Research Summary

Contribution Summary

  • Here we show that individual letter-phonemes in English carry structured, multidimensional semantic signals.
  • Behavioral data from English speakers confirm these patterns at rates well above chance (80.8%), and preliminary cross-linguistic evidence from five typologically diverse languages suggests that core mappings generalize beyond English.

Researcher Checklist

  • Pass: Human feedback protocol is explicit

    Detected: Pairwise Preference

  • Gap: Evaluation mode is explicit

    No clear evaluation mode extracted.

  • Gap: Quality control reporting appears

    No calibration/adjudication/IAA control explicitly detected.

  • Gap: Benchmark or dataset anchors are present

    No benchmark/dataset anchor extracted from abstract.

  • Gap: Metric reporting is present

    No metric terms extracted.

Related Papers

Papers are ranked by protocol overlap, extraction signal alignment, and semantic proximity.

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