ArticleCognitive science2022
A Cross-Modal and Cross-lingual Study of Iconicity in Language: Insights From Deep Learning.
Article in Cognitive science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Sources of Intelligibility of Distant Languages: An Empirical Study.Language and speech · 2026Article
- Delayed Aspectual Computation in Japanese: Evidence from Reduplicated Ideophones.Journal of psycholinguistic research · 2026Article
- The cognitive science of language diversity: achievements and challenges.Cognitive processing · 2025Review
- Cracking arbitrariness: A data-driven study of auditory iconicity in spoken English.Psychonomic bulletin & review · 2025Article
- THINGSplus: New norms and metadata for the THINGS database of 1854 object concepts and 26,107 natural object images.Behavior research methods · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present paper addresses the study of non-arbitrariness in language within a deep learning framework. We present a set of experiments aimed at assessing the pervasiveness of different forms of non-arbitrary phonological patterns across a set of typologically distant languages. Different sequence-processing neural networks are trained in a set of languages to associate the phonetic vectorization of a set of words to their sensory (Experiment 1), semantic (Experiment 2), and word-class representations (Experiment 3). The models are then tested, without further training, in a set of novel instances in a language belonging to a different language family, and their performance is compared with a randomized baseline. We show that the three cross-domain mappings can be successfully transferred across languages and language families, suggesting that the phonological structure of the lexicon is pervaded with language-invariant cues about the words' meaning and their syntactic classes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.