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Auditory disruption improves word segmentation: A functional basis for lenition phenomena

Paper · 2018 · Jonah Katz and Melinda Fricke

Summary

The paper asks whether lenition, where consonants are weaker or more vowel-like inside words than at their edges, actually helps listeners. It tests this with an artificial-language word segmentation task. Adult American English speakers heard about ten minutes of continuous synthesized speech built from nonce words. In each condition the stream either followed a common lenition pattern or its mirror image, an "anti-lenition" pattern unattested across languages. Two patterns were studied: spirantization (stops at word onset, approximant-like continuants word-medially, e.g. [ɡuβa] vs. [ɣuba]) and obstruent voicing (voiceless onsets, voiced medial obstruents).

Spirantization clearly improved segmentation over the inverse pattern. Voicing produced no reliable difference. The authors argue that English does not show spirantization in these contexts, so the advantage likely reflects general auditory grouping rather than transfer from the native language. The results give partial support to Katz's (2016) boundary-disruption theory, under which disruptive sounds mark constituent edges and smooth sounds mark their interiors. The study also shows that segmentation tasks can probe perceptual "disruption."

Key points

  • Typological motivation: Gurevich's survey finds spirantization-type lenition in a total of 76 languages, while voicing lenition appears in 39. Intervocalic position is the most frequent trigger for both.
  • Design: each lenition pattern was paired with an inverted control language. There were spirantization conditions (Spir1, Spir2) versus anti-spirantization, and voicing versus anti-voicing.
  • Result: spirantization helped segmentation substantially. Both voicing conditions performed at roughly the anti-spirantization level.
  • A small subgroup with extensive experience of a similar spirantization pattern scored about 88% (spirantization) vs. 53% (anti). The remaining participants scored about 83% vs. 66%, so the effect was larger with prior experience but still present without it.
  • Raw data are released as tab-delimited files (DataX1.txt for spirantization, DataX2.txt for voicing) with a field explanation file. A replication with West Virginia schoolchildren was underway.

Interesting ideas

  • I1. Each real pattern is compared against its exact mirror image, so the same segments appear in both conditions and only their position differs; this isolates positional structure from segment content.
  • I2. Boundaries are treated as points of maximal disruption in an otherwise continuous stream, with constituents defined by internal smoothness, in the spirit of Gestalt grouping.
  • I3. The authors rebut the "prior Spanish exposure" explanation by deriving its consequences for another condition (voicing should also have benefited) and showing those consequences fail.
  • I4. Results are split by how much relevant prior experience participants had, showing the effect grows with exposure but survives without it.
  • I5. A null result for one manipulation (voicing) is reported alongside the positive one and treated as information about which phonetic properties matter.

For Mova

How these ideas could serve Mova, our small open language model — its files, stages and tests:

  • I1 (learn): Evaluations of repair rules or parser features could include position-swapped or role-swapped controls, so a gain is credited only if it disappears when the structure is inverted.
  • I2 (tokens): Sentence and clause splitting for messy text could score candidate breaks by how sharply local cues change between adjacent spans, rather than relying on fixed punctuation lists alone.
  • I3 (answer): When a reader commits to an explanation of a story event, it could check that explanation's side predictions elsewhere in the text and drop it if they are contradicted.
  • I4 (learn): Evaluation could be stratified by how close test items are to the silver training data, to separate memorized patterns from genuinely general ones.
  • I5 (learn): Keeping a log of features or rules that did not help, with the conditions tested, would stop the same dead ends being retried and sharpen which cues matter for each stage.

Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.

 Institutions

 Fields, topics and concepts

Cite

Cite as Jonah Katz and Melinda Fricke. 2018. Auditory disruption improves word segmentation: A functional basis for lenition phenomena. Glossa: a journal of general linguistics.

The paper itself, not this page. BibTeX from the library's record of the work. DOI 10.5334/gjgl.443

@article{katz2018auditory,
  title = {{Auditory disruption improves word segmentation: A functional basis for lenition phenomena}},
  author = {Jonah Katz and Melinda Fricke},
  journal = {Glossa: a journal of general linguistics},
  year = {2018},
  doi = {10.5334/gjgl.443},
  url = {https://doi.org/10.5334/gjgl.443}
}

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  59. How to cite this article: Katz, Jonah and Melinda Fricke. 2018. Auditory disruption improves word segmentation: A functional basis for lenition phenomena. Glossa: a journal of general linguistics 3(1): 38. 1–25, DOI: https://doi.org/10.5334/gjgl.443 ↗
  60. Accepted: 09 January 2018 find
  61. Copyright: © 2018 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/. Glossa: a journal of general linguistics is a peer-reviewed open access journal published by Ubiquity Press. OPEN ACCESS ↗

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