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# Who cites «The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages»

9 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/akerman-2023-ebible-corpus-data-model-benchmarks/)

1. [Context Volume Drives Performance: Tackling Domain Shift in Extremely Low-Resource Translation via RAG](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2026-setiawan-context-volume-drives-performance-tackling/) *— our card · 2026 · Proceedings for the Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026)*
2. [Does Generative AI speak Nigerian-Pidgin?: Issues about Representativeness and Bias for Multilingualism in LLMs](https://aclanthology.org/2025.findings-naacl.85/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
3. [MMTEB: Massive Multilingual Text Embedding Benchmark](https://arxiv.org/abs/2502.13595) *— 2025 · arXiv:2502.13595*
4. church-2025-comparable-corpora-opportunities-new-research
5. janetzki-2024-guide-creating-semantic-domain-dictionaries
6. moll-2025-assessing-similarity-cross-lingual-seq2seq
7. ponwitayarat-2026-sea-bed-how-do-embedding
8. rapacz-2026-targum-multilingual-new-testament-translation
9. wong-2024-humanistic-buddhism-corpus-challenging-domain
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