Post

New research · AI in Medicine
Behavior research methods · 1d
AI / informaticsBehavior research methods · 2026

AI-generated familiarity estimates are a useful new source of information about word knowledge in Simplified Chinese.

Ziyi Ding, Kangning Qin, Marc Brysbaert, Qing Cai
Read paper
AI in MedicineAI / informatics

AI-generated familiarity estimates are now available for a large set of Simplified Chinese words.

AI-generated familiarity estimates are a useful new source of information about word knowledge in Simplified Chinese.

Ziyi Ding et al. · Behavior research methods · 2026
Purpose

This study evaluated the usefulness of AI-generated estimates of word familiarity for predicting word difficulty in Simplified Chinese, building on previous research in alphabetic languages.

Results
words
total Simplified Chinese words with new AI familiarity estimates now available
n = 27,624 words
More results

We found that familiarity estimates produced using large language models (LLMs) showed moderate-to-strong correlations with human familiarity ratings.

GPT-4o with English instructions produced superior results compared to the Chinese-centered models currently available.

“
Conclusion

We release familiarity estimates for 27,624 words for unrestricted research and educational use.

Read paper
0 comments

No comments yet. Be the first.

Related papers

LatestFoundational
AI / Informatics
89%
Artificial intelligence/machine learning models correctly identified 89% of high-grade glioma recurrences and non-recurrences.
Systematic Review
“Our review suggests that LDCT screening is generally cost-effective in high-risk populations, although implementing LC screening programs may entail a substantial budgetary impact.”
Guideline
“By outlining key strategic, regulatory, and operational considerations, this primer aims to equip clinician innovators with foundational knowledge to navigate the pathway from unmet clinical need to scalable endoscopic technology.”
AI / Informatics
0.761
how well the artificial intelligence system predicted how long patients with pancreatic cancer would live
AI / Informatics
C-index = 96.0%
The model accurately predicted when initial leukemia treatment would not work
AI / Informatics
0.64-0.69
The modest ability of AI-ECG alone to predict irregular heartbeat risk
AI / Informatics
0.987
model's accuracy in identifying Cadmium contamination levels
Cohort Study
4 percentage points
the new method improved the accuracy of survival prediction for rare cancers