@inproceedings{flint-kislay-2025-quantifying,
title = "Quantifying Phonosemantic Iconicity Distributionally in 6 Languages",
author = "Flint, George and
Kislay, Kaustubh",
editor = "Inui, Kentaro and
Sakti, Sakriani and
Wang, Haofen and
Wong, Derek F. and
Bhattacharyya, Pushpak and
Banerjee, Biplab and
Ekbal, Asif and
Chakraborty, Tanmoy and
Singh, Dhirendra Pratap",
booktitle = "Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics",
month = dec,
year = "2025",
address = "Mumbai, India",
publisher = "The Asian Federation of Natural Language Processing and The Association for Computational Linguistics",
url = "https://preview.aclanthology.org/ingest-ijcnlp-aacl/2025.ijcnlp-long.67/",
pages = "1219--1237",
ISBN = "979-8-89176-298-5",
abstract = "Language is, as commonly theorized, largely arbitrary. Yet, systematic relationships between phonetics and semantics have been observed in many specific cases. To what degree could those systematic relationships manifest themselves in large scale, quantitative investigations{--}both in previously identified and unidentified phenomena? This work undertakes a distributional approach to quantifying phonosemantic iconicity at scale across 6 diverse languages (English, Spanish, Hindi, Finnish, Turkish, and Tamil). In each language, we analyze the alignment of morphemes' phonetic and semantic similarity spaces with a suite of statistical measures, and discover an array of interpretable phonosemantic alignments not previously identified in the literature, along with crosslinguistic patterns. We also analyze 5 previously hypothesized phonosemantic alignments, finding support for some such alignments and mixed results for others."
}Markdown (Informal)
[Quantifying Phonosemantic Iconicity Distributionally in 6 Languages](https://preview.aclanthology.org/ingest-ijcnlp-aacl/2025.ijcnlp-long.67/) (Flint & Kislay, IJCNLP-AACL 2025)
ACL
- George Flint and Kaustubh Kislay. 2025. Quantifying Phonosemantic Iconicity Distributionally in 6 Languages. In Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, pages 1219–1237, Mumbai, India. The Asian Federation of Natural Language Processing and The Association for Computational Linguistics.