Recoverable Identifier
advisory
doi_compliance
recoverable_identifier
DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1080/09588221.2024.2345678Mai) was visible in the surrounding text but could not be confirmed against doi.org as printed.
Paper page Integrity report arXiv Try DOI
Evidence text
Li, Y. (2024). ChatGPT in language learning: A systematic PRISMA review of the first year of research. Computer Assisted Language Learning. Advance online publication. https://doi.org/10.1080/09588221.2024.2345678 Mai, H., Pham, T., & Nguyen, L. (2024). Opportunities and risks of ChatGPT in education: A systematic review. Frontiers in Education, 9, 1445678. https://doi.org/10.3389/feduc.2024.1445678 Matsumoto, Y. (2017). Noun-modifying clause constructions in Japanese. Oxford Research Encyclopedia of Linguistics. https://doi.org/10.1093/acrefore/9780199384655.013.294 Matsumoto, Y., & Comrie, B. (2018). Clausal noun-modifying constructions. In P. Pardeshi & T. Kageyama (Eds.), Handbook of Japanese Contrastive Linguistics (pp. 411–432). De Gruyter Mouton. https://doi.org/10.1515/9781614514077-014 Merx, R. (2024). Retrieval-augmented prompting for low-resource MT: The case of Mambai. In Proceedings of the 2024 Workshop on Low-Resource Languages (EURALI). https://aclanthology.org/2024.eurali-1.1 Moon, H., Chung, Y., & Randolph, A. W. (2025). Teaching and learning languages with ChatGPT: Challenges and opportunities in multilingual classrooms in higher education. Indonesian Journal of English Language Teaching and Applied Linguistics, 10(1), 207–223. https://doi.org/10.21093/ijeltal.v10i1.1991 OpenAI. (2023). GPT-4 technical report. arXiv preprint. https://cdn.openai.com/papers/gpt-4.pdf Otsu, T. [大津卓也]. (2023). 一枚の絵でストーリーを伝える方法: ビジュアルストーリーテリングの基礎から応用まで [How to convey a story with
Evidence payload
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"reconstructed_doi": "10.1080/09588221.2024.2345678Mai",
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