Supporting materials: Vector-Based Analysis of Phonetic Iconicity in Spatial Dimension Adjectives in Yunnan Minority Languages

This dataset and analysis pipeline support a cross‑linguistic investigation into phonetic iconicity in spatial adjectives across 36 minority languages of Yunnan, China. The data extracted from the Yunnan Provincial Gazetteer: Gazetteer of Ethnic Minority Languages and Scripts (1989). We provide: IPA transcriptions for 18 spatial dimension terms per language. Numerical phonetic vectors derived from articulatory features. Difference vectors for each antonym pair to capture systematic contrasts. Principal Component Analysis (PCA) results. Sonority Sequencing Principle (SSP) data for vowels and consonants. Repository Structure: Data_and_Results/ – Curated results, including visualisations, PCA outputs, and a detailed data catalog. Supporting_Materials/ – Complete computational workflow, comprising: SDAs_Tool/ – All Python scripts, configuration files, and three detailed READMEs. SDAs_Data/ – Auto‑generated intermediate and outputs from the scripts. yunnan_languages_SDAs/ – CLDF‑formatted dataset. soundvectors_Data/ – Segment‑level feature vectors and aggregated statistics. All data are provided under a CC‑BY 4.0 license. Please cite this repository and the original source (Yunnan Provincial Chronicles, 1989) when using the data.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-06
DOI
https://doi.org/10.5281/zenodo.22541250
Primary Topic
Multisensory perception and integration
Type
article
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article

Supporting materials: Vector-Based Analysis of Phonetic Iconicity in Spatial Dimension Adjectives in Yunnan Minority Languages

Wenqi Li, Yutong Kuang, Danqing Liu
Zenodo (CERN European Organization for Nuclear Research)
Multisensory perception and integration
article

Supporting materials: Vector-Based Analysis of Phonetic Iconicity in Spatial Dimension Adjectives in Yunnan Minority Languages

Wenqi Li, Yutong Kuang, Danqing Liu
article en

Abstract

This dataset and analysis pipeline support a cross‑linguistic investigation into phonetic iconicity in spatial adjectives across 36 minority languages of Yunnan, China. The data extracted from the Yunnan Provincial Gazetteer: Gazetteer of Ethnic Minority Languages and Scripts (1989). We provide: IPA transcriptions for 18 spatial dimension terms per language. Numerical phonetic vectors derived from articulatory features. Difference vectors for each antonym pair to capture systematic contrasts. Principal Component Analysis (PCA) results. Sonority Sequencing Principle (SSP) data for vowels and consonants. Repository Structure: Data_and_Results/ – Curated results, including visualisations, PCA outputs, and a detailed data catalog. Supporting_Materials/ – Complete computational workflow, comprising: SDAs_Tool/ – All Python scripts, configuration files, and three detailed READMEs. SDAs_Data/ – Auto‑generated intermediate and outputs from the scripts. yunnan_languages_SDAs/ – CLDF‑formatted dataset. soundvectors_Data/ – Segment‑level feature vectors and aggregated statistics. All data are provided under a CC‑BY 4.0 license. Please cite this repository and the original source (Yunnan Provincial Chronicles, 1989) when using the data.

Zenodo (CERN European Organization for Nuclear Research)
Shenzhen University (CN), University of Macau (MO)
Quality Education
Openalex Percentile: Top 7%
Multisensory perception and integration
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