Miaoran Zhang
Miaoran Zhang has 3 papers in our library, in 2023–2026, most of them on Machine translation, English; often with David Ifeoluwa Adelani, Cristina España-Bonet, Dawei Zhu.
OpenAlex · h-index 2 · 5 works · 9 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 19 times in our library · ⭐ Paper Stars ranking: #8856
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 2Research subjects and languages the work is about.Machine translation · 1 workEnglish · 1 work
Works by year
2020s
Papers
- AFRIDOC-MT: Document-level MT Corpus for African Languages (2025 · 13 citations)
Most machine translation research for African languages has worked on isolated sentences, and there has been almost no benchmark for translating whole documents. - A Lightweight Method to Generate Unanswerable Questions in English (2023 · 6 citations)
Extractive QA systems tend to produce a plausible-looking span even when the passage does not contain the answer. - AfriMTEB and AfriE5: Benchmarking and Adapting Text Embedding Models for African Languages (2026 · 4 citations)
Existing text-embedding benchmarks such as MMTEB cover African languages poorly. Some task types have no African data at all, and others include only one to three languages, so it is unclear how well embedding models serve the region.
Co-authors here
- David Ifeoluwa Adelani ×2
- Cristina España-Bonet
- Dawei Zhu
- Dietrich Klakow
- Iffat Maab
- Israel Abebe Azime
- Jesujoba Alabi
- Kosei Uemura
- Rachel Bawden
- Shamsuddeen Hassan Muhammad
- Vagrant Gautam
Venues
- Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023
Cited by
Updated
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