Who cites «Creating a Translation Matrix of the Bible's Names Across 591 Languages»
- ParaNames 1.0: Creating an Entity Name Corpus for 400+ Languages Using Wikidata — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages — our card · 2023 · arXiv:2304.09919
- Towards a Broad Coverage Named Entity Resource: A Data-Efficient Approach for Many Diverse Languages — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
- 机器音译研究综述(Survey on Machine Transliteration) — 2022 · Proceedings of the 21st Chinese National Conference on Computational Linguistics
- Family of Origin and Family of Choice: Massively Parallel Lexiconized Iterative Pretraining for Severely Low Resource Text-based Translation — 2021 · Proceedings of the Third Workshop on Computational Typology and Multilingual NLP
- ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations
- Effective Architectures for Low Resource Multilingual Named Entity Transliteration — 2020 · Proceedings of the 3rd Workshop on Technologies for MT of Low Resource Languages
- Neural Transduction for Multilingual Lexical Translation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- The Johns Hopkins University Bible Corpus: 1600+ Tongues for Typological Exploration — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- A Comparative Study of Extremely Low-Resource Transliteration of the World's Languages — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
- wu-2021-sequence-models-computational-etymology-borrowings
- wu-2022-robustness-cognate-generation-models
- zhou-2023-train-global-tailor-local-minimalist
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