CEFR-Based Sentence Difficulty Annotation and Assessment

Author:

Arase Yuki,Uchida Satoru,Kajiwara Tomoyuki

Publisher

Association for Computational Linguistics

Cited by 6 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. Profiling English sentences based on CEFR levels;ITL - International Journal of Applied Linguistics;2024-03-22

2. Using GPT-3 as a Text Data Augmentator for a Complex Text Detector;2023 IEEE 5th International Conference on BioInspired Processing (BIP);2023-11-28

3. Uncertainty Estimation for Complex Text Detection in Spanish;2023 IEEE 5th International Conference on BioInspired Processing (BIP);2023-11-28

4. DEExtract: A Customizable Context-Based German Vocabulary Learning Tool;2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT);2023-11-20

5. Text classification by CEFR levels using machine learning methods and BERT language model;Modeling and Analysis of Information Systems;2023-09-17

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