---
title: "Who cites The eBible Corpus: Data and Model Benchmarks for…"
description: "The papers of the Elamur Research library that cite «The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages», found…"
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---
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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.research.elamur.ai/free/en/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.research.elamur.ai/free/en/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. [SEA-BED: How Do Embedding Models Represent Southeast Asian Languages?](https://aclanthology.org/2026.acl-long.397/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [Targum -- A Multilingual New Testament Translation Corpus](https://arxiv.org/abs/2602.09724) *— 2026 · arXiv:2602.09724*
4. [Assessing the Similarity of Cross-Lingual Seq2Seq Sentence Embeddings Using Low-Resource Spectral Clustering](https://aclanthology.org/2025.resourceful-1.28/) *— 2025 · Proceedings of the Third Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2025)*
5. [Comparable Corpora: Opportunities for New Research Directions](https://aclanthology.org/2025.bucc-1.9/) *— 2025 · Proceedings of the 18th Workshop on Building and Using Comparable Corpora (BUCC)*
6. [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*
7. [MMTEB: Massive Multilingual Text Embedding Benchmark](https://arxiv.org/abs/2502.13595) *— 2025 · arXiv:2502.13595*
8. [GUIDE: Creating Semantic Domain Dictionaries for Low-Resource Languages](https://aclanthology.org/2024.sigtyp-1.2/) *— 2024 · Proceedings of the 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP*
9. [Humanistic Buddhism Corpus: A Challenging Domain-Specific Dataset of English Translations for Classical and Modern Chinese](https://aclanthology.org/2024.lrec-main.737/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*