Who cites «Evaluating prose style transfer with the Bible»

39 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

1. Evaluating Text Style Transfer: A Nine-language Benchmark for Text Detoxification — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
2. Text Style Transfer with Parameter-efficient LLM Finetuning and Round-trip Translation — 2026 · arXiv:2602.15013
3. Detoxify-IT: An Italian Parallel Dataset for Text Detoxification — 2025 · Proceedings of the The 9th Workshop on Online Abuse and Harms (WOAH)
4. Improving Text Style Transfer using Masked Diffusion Language Models with Inference-time Scaling — 2025 · arXiv:2508.10995
5. Learning Text Styles: A Study on Transfer, Attribution, and Verification — 2025 · arXiv:2507.16530
6. Multilingual and Explainable Text Detoxification with Parallel Corpora — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
7. Task-Oriented Paraphrase Analytics — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
8. A Call for Standardization and Validation of Text Style Transfer Evaluation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
9. A Parallel Corpus for Vietnamese Central-Northern Dialect Text Transfer — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
10. Fluency Matters! Controllable Style Transfer with Syntax Guidance — 2023 · Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis
11. A large-scale computational study of content preservation measures for text style transfer and paraphrase generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
12. Deep Learning for Text Style Transfer: A Survey — 2022 · Computational Linguistics
13. Low Resource Style Transfer via Domain Adaptive Meta Learning — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
14. Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated? — our card · 2022 · arXiv:2212.08986
15. NEWTS: A Corpus for News Topic-Focused Summarization — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
16. ParaDetox: Detoxification with Parallel Data — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
17. PoliSe: Reinforcing Politeness Using User Sentiment for Customer Care Response Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
18. ``Slow Service'''' \ensuremath\nrightarrow ``Great Food'''': Enhancing Content Preservation in Unsupervised Text Style Transfer — 2022 · Proceedings of the 15th International Conference on Natural Language Generation
19. TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
20. Unsupervised Text Style Transfer with Content Embeddings — 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
21. An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Industry Track
22. HELFI: a Hebrew-Greek-Finnish Parallel Bible Corpus with Cross-Lingual Morpheme Alignment — our card · 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
23. Incorporating Politeness across Languages in Customer Care Responses: Towards building a Multi-lingual Empathetic Dialogue Agent — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
24. Style versus Content: A distinction without a (learnable) difference? — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
25. Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric — 2020 · arXiv:2004.05001
26. Text Style Transfer: A Review and Experimental Evaluation — 2020 · arXiv:2010.12742 · KDD Explorations 24 (2022) 14-45
27. Controlling the Reading Level of Machine Translation Output — 2019 · Proceedings of Machine Translation Summit XVII: Research Track
28. Courteously Yours: Inducing courteous behavior in Customer Care responses using Reinforced Pointer Generator Network — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
29. Decomposing Textual Information For Style Transfer — 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation
30. Formality Style Transfer for Noisy, User-generated Conversations: Extracting Labeled, Parallel Data from Unlabeled Corpora — 2019 · Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)
31. Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
32. Learning to Listen: Critically Considering the Role of AI in Human Storytelling and Character Creation — 2018 · Proceedings of the First Workshop on Storytelling
33. Monolingual and Cross-lingual Zero-shot Style Transfer — 2018 · arXiv:1808.00179
34. Multiple-Attribute Text Style Transfer — 2018 · arXiv:1811.00552
35. Style Obfuscation by Invariance — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
36. ostheimer-2025-challenging-assumptions-learning-generic-text
37. rapacz-2026-targum-multilingual-new-testament-translation
38. vishnubhotla-2021-evaluation-disentangled-representation-learning-texts
39. yuan-2025-llm-loop-creating-paradehate-dataset

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