ArticleCommunications psychology2025
A multimodal transformer-based tool for automatic generation of concreteness ratings across languages.
Article in Communications psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Contextualized sensorimotor norms: Multi-dimensional measures of sensorimotor strength for ambiguous English words, in context.Behavior research methods · 2026Article
- How well do large language models mirror human cognition of word concepts?: A comparison of psychological ratings for early-acquired English words.Behavior research methods · 2026Article
- AI-supported visual-semantic word teaching from the perspective of educational psychology: instant gains in Turkish acquisition, computational choice, and learners' psychological experience.Frontiers in psychology · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
We present an automated method for generating concreteness ratings that achieves beyond human-level reliability across multiple languages and expression types. Our approach combines multimodal transformers with emotion-finetuned language models and achieves correlations of 0.93 for single British words and 0.85 for multiword expressions with existing corpora of human raters. We demonstrate general applicability through successful cross-lingual generalization to an entirely unseen corpus of Estonian single- and multi-word expressions (N = 35,979), achieved via automated language detection and translation. By leveraging both visual and emotional information in context-aware language embeddings, our method effectively captures the full spectrum from concrete to abstract concepts. Our automated system offers a context sensitive, reliable alternative to traditional human ratings, eliminating the need for time-consuming and costly human rating collection. We provide an easy to access web-based interface for research to use our tool under concreteness.eu .
Identifiers
What OpenQuestion holds
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.