Who cites «The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages»
- Context Volume Drives Performance: Tackling Domain Shift in Extremely Low-Resource Translation via RAG — our card · 2026 · Proceedings for the Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026)
- Does Generative AI speak Nigerian-Pidgin?: Issues about Representativeness and Bias for Multilingualism in LLMs — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
- MMTEB: Massive Multilingual Text Embedding Benchmark — 2025 · arXiv:2502.13595
- church-2025-comparable-corpora-opportunities-new-research
- janetzki-2024-guide-creating-semantic-domain-dictionaries
- moll-2025-assessing-similarity-cross-lingual-seq2seq
- ponwitayarat-2026-sea-bed-how-do-embedding
- rapacz-2026-targum-multilingual-new-testament-translation
- wong-2024-humanistic-buddhism-corpus-challenging-domain
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