Assessing Language Proficiency from Eye Movements in Reading
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Association for Computational Linguistics
Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Eyettention: An Attention-based Dual-Sequence Model for Predicting Human Scanpaths during Reading;Proceedings of the ACM on Human-Computer Interaction;2023-05-17
2. Assessment of Children Eye Movement Performance: An Eye-Tracker Approach;IFMBE Proceedings;2023
3. Evaluation of level of foreign language proficiency based on eye movement data;Journal of Optical Technology;2022-08-01
4. Inferring Native and Non-Native Human Reading Comprehension and Subjective Text Difficulty from Scanpaths in Reading;2022 Symposium on Eye Tracking Research and Applications;2022-06-08
5. Inferring Search User Language Proficiency from Eye Gaze Data;ACM SIGIR Conference on Human Information Interaction and Retrieval;2022-03-14
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