mlsanityData to 7 Oct 2026

Multi-Task Neural Models for Translating Between Styles Within and Across Languages

arXiv 1806.04357 ↗First posted 12 Jun 2018cs.CLcited by 28

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Abstract (arXiv)

Generating natural language requires conveying content in an appropriate style. We explore two related tasks on generating text of varying formality: monolingual formality transfer and formality-sensitive machine translation. We propose to solve these tasks jointly using multi-task learning, and show that our models achieve state-of-the-art performance for formality transfer and are able to perform formality-sensitive translation without being explicitly trained on style-annotated translation examples.

Key facts. Cited by 28 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Jun 2018.

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Citing papers per year: 2021: 7; 2022: 6; 2023: 10; 2024: 2; 2025: 3.

28 papers.

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  1. 2023The unreasonable effectiveness of few-shot learning for machine translationcited by 91
  2. 2021Multi-Task Learning in Natural Language Processing: An Overviewcited by 61
  3. 2021XFORMAL: A Benchmark for Multilingual Formality Style Transfercited by 51
  4. 2022Inducing Positive Perspectives with Text Reframingcited by 31
  5. 2021Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfercited by 28
  6. 2022CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formalitycited by 24
  7. 2021Few-shot Controllable Style Transfer for Low-Resource Multilingual Settingscited by 20
  8. 2022FRMT: A Benchmark for Few-Shot Region-Aware Machine Translationcited by 18
  9. 2023Controlling Pre-trained Language Models for Grade-Specific Text Simplificationcited by 14
  10. 2021Improving Formality Style Transfer with Context-Aware Rule Injectioncited by 13
  11. 2022Semi-Supervised Formality Style Transfer with Consistency Trainingcited by 12
  12. 2023Multidimensional Evaluation for Text Style Transfer Using ChatGPTcited by 12
16 more
  1. 2024Distilling Text Style Transfer With Self-Explanation From LLMscited by 12
  2. 2022Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfercited by 11
  3. 2021Towards Universality in Multilingual Text Rewritingcited by 7
  4. 2024Exploiting Dialect Identification in Automatic Dialectal Text Normalizationcited by 7
  5. 2021From Theories on Styles to their Transfer in Text: Bridging the Gap with a Hierarchical Surveycited by 5
  6. 2023VQA-GEN: A Visual Question Answering Benchmark for Domain Generalizationcited by 5
  7. 2023Conversation Style Transfer using Few-Shot Learningcited by 4
  8. 2025Towards Style Alignment in Cross-Cultural Translationcited by 4
  9. 2022Style Transfer as Data Augmentation: A Case Study on Named Entity Recognitioncited by 2
  10. 2023How Transferable are Attribute Controllers on Pretrained Multilingual Translation Models?cited by 2
  11. 2023Comparing Styles across Languages: A Cross-Cultural Exploration of Politenesscited by 2
  12. 2023Pluggable Neural Machine Translation Models via Memory-augmented Adapterscited by 1
  13. 2025Improving Text Style Transfer using Masked Diffusion Language Models with Inference-time Scalingcited by 1
  14. 2023Learning a Formality-Aware Japanese Sentence Representationcited by 0
  15. 2023Machine Translation to Control Formality Features in the Target Languagecited by 0
  16. 2025Neurobiber: Fast and Interpretable Stylistic Feature Extractioncited by 0