---
title: "Who cites Evaluating prose style transfer with the Bible"
description: "The papers of the Elamur Research library that cite «Evaluating prose style transfer with the Bible», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/carlson-2017-evaluating-prose-style-transfer-bible/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/carlson-2017-evaluating-prose-style-transfer-bible/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Evaluating prose style transfer with the Bible](https://md.research.elamur.ai/free/en/papers/carlson-2017-evaluating-prose-style-transfer-bible/) / cited by

# 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](https://md.research.elamur.ai/free/en/papers/carlson-2017-evaluating-prose-style-transfer-bible/)

1. [Evaluating Text Style Transfer: A Nine-language Benchmark for Text Detoxification](https://aclanthology.org/2026.lrec-1.358/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [Targum -- A Multilingual New Testament Translation Corpus](https://arxiv.org/abs/2602.09724) *— 2026 · arXiv:2602.09724*
3. [Text Style Transfer with Parameter-efficient LLM Finetuning and Round-trip Translation](https://arxiv.org/abs/2602.15013) *— 2026 · arXiv:2602.15013*
4. [Challenging Assumptions in Learning Generic Text Style Embeddings](https://aclanthology.org/2025.insights-1.1/) *— 2025 · The Sixth Workshop on Insights from Negative Results in NLP*
5. [Detoxify-IT: An Italian Parallel Dataset for Text Detoxification](https://aclanthology.org/2025.woah-1.24/) *— 2025 · Proceedings of the The 9th Workshop on Online Abuse and Harms (WOAH)*
6. [Improving Text Style Transfer using Masked Diffusion Language Models with Inference-time Scaling](https://arxiv.org/abs/2508.10995) *— 2025 · arXiv:2508.10995*
7. [LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification](https://aclanthology.org/2025.findings-ijcnlp.59/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
8. [Learning Text Styles: A Study on Transfer, Attribution, and Verification](https://arxiv.org/abs/2507.16530) *— 2025 · arXiv:2507.16530*
9. [Multilingual and Explainable Text Detoxification with Parallel Corpora](https://aclanthology.org/2025.coling-main.535/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
10. [Task-Oriented Paraphrase Analytics](https://aclanthology.org/2024.lrec-main.1360/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
11. [A Call for Standardization and Validation of Text Style Transfer Evaluation](https://aclanthology.org/2023.findings-acl.687/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
12. [A Parallel Corpus for Vietnamese Central-Northern Dialect Text Transfer](https://aclanthology.org/2023.findings-emnlp.925/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
13. [Fluency Matters! Controllable Style Transfer with Syntax Guidance](https://aclanthology.org/2023.wassa-1.15/) *— 2023 · Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis*
14. [A large-scale computational study of content preservation measures for text style transfer and paraphrase generation](https://aclanthology.org/2022.acl-srw.23/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
15. [Deep Learning for Text Style Transfer: A Survey](https://aclanthology.org/2022.cl-1.6/) *— 2022 · Computational Linguistics*
16. [Low Resource Style Transfer via Domain Adaptive Meta Learning](https://aclanthology.org/2022.naacl-main.220/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
17. [Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?](https://md.research.elamur.ai/free/en/papers/patel-2022-low-resource-authorship-style-transfer/) *— our card · 2022 · arXiv:2212.08986*
18. [NEWTS: A Corpus for News Topic-Focused Summarization](https://aclanthology.org/2022.findings-acl.42/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
19. [ParaDetox: Detoxification with Parallel Data](https://aclanthology.org/2022.acl-long.469/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [PoliSe: Reinforcing Politeness Using User Sentiment for Customer Care Response Generation](https://aclanthology.org/2022.coling-1.538/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
21. [“Slow Service” \ensuremath\nrightarrow “Great Food”: Enhancing Content Preservation in Unsupervised Text Style Transfer](https://aclanthology.org/2022.inlg-main.3/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation*
22. [An Evaluation of Disentangled Representation Learning for Texts](https://aclanthology.org/2021.findings-acl.170/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
23. [TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling](https://aclanthology.org/2021.acl-long.293/) *— 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)*
24. [Unsupervised Text Style Transfer with Content Embeddings](https://aclanthology.org/2021.ranlp-1.27/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
25. [An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation](https://aclanthology.org/2020.coling-industry.6/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Industry Track*
26. [HELFI: a Hebrew-Greek-Finnish Parallel Bible Corpus with Cross-Lingual Morpheme Alignment](https://md.research.elamur.ai/free/en/papers/lingbulk-2020-jyra-helfi-hebrew-greek-finnish-parallel/) *— our card · 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
27. [Incorporating Politeness across Languages in Customer Care Responses: Towards building a Multi-lingual Empathetic Dialogue Agent](https://aclanthology.org/2020.lrec-1.514/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
28. [Style versus Content: A distinction without a (learnable) difference?](https://aclanthology.org/2020.coling-main.197/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
29. [Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric](https://arxiv.org/abs/2004.05001) *— 2020 · arXiv:2004.05001*
30. [Text Style Transfer: A Review and Experimental Evaluation](https://arxiv.org/abs/2010.12742) *— 2020 · arXiv:2010.12742 · KDD Explorations 24 (2022) 14-45*
31. [Controlling the Reading Level of Machine Translation Output](https://aclanthology.org/W19-6619/) *— 2019 · Proceedings of Machine Translation Summit XVII: Research Track*
32. [Courteously Yours: Inducing courteous behavior in Customer Care responses using Reinforced Pointer Generator Network](https://aclanthology.org/N19-1091/) *— 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)*
33. [Decomposing Textual Information For Style Transfer](https://aclanthology.org/D19-5613/) *— 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation*
34. [Formality Style Transfer for Noisy, User-generated Conversations: Extracting Labeled, Parallel Data from Unlabeled Corpora](https://aclanthology.org/D19-5502/) *— 2019 · Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)*
35. [Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites](https://aclanthology.org/D19-1406/) *— 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)*
36. [Learning to Listen: Critically Considering the Role of AI in Human Storytelling and Character Creation](https://aclanthology.org/W18-1501/) *— 2018 · Proceedings of the First Workshop on Storytelling*
37. [Monolingual and Cross-lingual Zero-shot Style Transfer](https://arxiv.org/abs/1808.00179) *— 2018 · arXiv:1808.00179*
38. [Multiple-Attribute Text Style Transfer](https://arxiv.org/abs/1811.00552) *— 2018 · arXiv:1811.00552*
39. [Style Obfuscation by Invariance](https://aclanthology.org/C18-1084/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*