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home / docs / papers / cited-by / Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 2

Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 2

1514 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

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  1. Convergences and Divergences between Automatic Assessment and Human Evaluation: Insights from Comparing ChatGPT-Generated Translation and Neural Machine Translation — 2024 · arXiv:2401.05176
  2. Correcting FLORES Evaluation Dataset for Four African Languages — 2024 · Proceedings of the Ninth Conference on Machine Translation
  3. Cyber Risks of Machine Translation Critical Errors : Arabic Mental Health Tweets as a Case Study — 2024 · arXiv:2405.11668
  4. DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  5. DORE: A Dataset for Portuguese Definition Generation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  6. Detector–Corrector: Edit-Based Automatic Post Editing for Human Post Editing — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  7. Disentangling the Roles of Target-side Transfer and Regularization in Multilingual Machine Translation — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  8. EPOQUE: An English-Persian Quality Estimation Dataset — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  9. English-to-Low-Resource Translation: A Multimodal Approach for Hindi, Malayalam, Bengali, and Hausa — 2024 · Proceedings of the Ninth Conference on Machine Translation
  10. Enhancing Gender-Inclusive Machine Translation with Neomorphemes and Large Language Models — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  11. Evaluating Code-Switching Translation with Large Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  12. Expanding the FLORES+ Multilingual Benchmark with Translations for Aragonese, Aranese, Asturian, and Valencian — 2024 · Proceedings of the Ninth Conference on Machine Translation
  13. Findings of WMT 2024 Shared Task on Low-Resource Indic Languages Translation — 2024 · Proceedings of the Ninth Conference on Machine Translation
  14. Findings of the WMT 2024 Shared Task Translation into Low-Resource Languages of Spain: Blending Rule-Based and Neural Systems — 2024 · Proceedings of the Ninth Conference on Machine Translation
  15. Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  16. Fine-tuning with HED-IT: The impact of human post-editing for dialogical language models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  17. First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  18. From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation — 2024 · arXiv:2403.14118 · 2024 International Joint Conference on Neural Networks (IJCNN)
  19. Gradable ChatGPT Translation Evaluation — 2024 · arXiv:2401.09984
  20. Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  21. High-quality Data-to-Text Generation for Severely Under-Resourced Languages with Out-of-the-box Large Language Models — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
  22. How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  23. How Much Data is Enough Data? Fine-Tuning Large Language Models for In-House Translation: Performance Evaluation Across Multiple Dataset Sizes — 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
  24. Improving Vietnamese-English Medical Machine Translation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  25. Investigating Neural Machine Translation for Low-Resource Languages: Using Bavarian as a Case Study — 2024 · Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC-COLING 2024
  26. Investigating Paraphrase Generation as a Data Augmentation Strategy for Low-Resource AMR-to-Text Generation — 2024 · Proceedings of the 17th International Natural Language Generation Conference
  27. Is Context Helpful for Chat Translation Evaluation? — 2024 · arXiv:2403.08314
  28. LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training — 2024 · arXiv:2401.04348
  29. LLMs and Translation: different approaches to localization between Brazilian Portuguese and European Portuguese — 2024 · Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1
  30. Leveraging LLMs for MT in Crisis Scenarios: a blueprint for low-resource languages — 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
  31. Leveraging Large Language Models for NLG Evaluation: Advances and Challenges — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  32. Leveraging Synthetic Audio Data for End-to-End Low-Resource Speech Translation — 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)
  33. Machine Translation Meets Large Language Models: Evaluating ChatGPT''s Ability to Automatically Post-Edit Literary Texts — 2024 · Proceedings of the 1st Workshop on Creative-text Translation and Technology
  34. Mitigating Metric Bias in Minimum Bayes Risk Decoding — 2024 · Proceedings of the Ninth Conference on Machine Translation
  35. Multi-Dimensional Machine Translation Evaluation: Model Evaluation and Resource for Korean — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  36. Normalizing without Modernizing: Keeping Historical Wordforms of Middle French while Reducing Spelling Variants — our card · 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  37. On Instruction-Finetuning Neural Machine Translation Models — 2024 · Proceedings of the Ninth Conference on Machine Translation
  38. On Measuring Context Utilization in Document-Level MT Systems — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
  39. On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  40. PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  41. Pitfalls and Outlooks in Using COMET — 2024 · Proceedings of the Ninth Conference on Machine Translation
  42. Post-edits Are Preferences Too — 2024 · Proceedings of the Ninth Conference on Machine Translation
  43. Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  44. Quality Estimation with $k$-nearest Neighbors and Automatic Evaluation for Model-specific Quality Estimation — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  45. Quality and Quantity of Machine Translation References for Automatic Metrics — 2024 · Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024
  46. SedarEval: Automated Evaluation using Self-Adaptive Rubrics — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  47. SignBLEU: Automatic Evaluation of Multi-channel Sign Language Translation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  48. Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  49. Together We Can: Multilingual Automatic Post-Editing for Low-Resource Languages — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  50. Tower: An Open Multilingual Large Language Model for Translation-Related Tasks — 2024 · arXiv:2402.17733
  51. Translate your Own: a Post-Editing Experiment in the NLP domain — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  52. What do Large Language Models Need for Machine Translation Evaluation? — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  53. What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  54. Word-level Translation Quality Estimation Based on Optimal Transport — 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
  55. mbrs: A Library for Minimum Bayes Risk Decoding — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  56. xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection — 2024 · Transactions of the Association for Computational Linguistics
  57. “A Spanish version of EastEnders”: a reception study of a telenovela subtitled using MT — 2024 · The Journal of Specialised Translation (JoSTrans)
  58. 文档级神经机器翻译综述 — 2024 · 软件学报 (Journal of Software)
  59. A Filtering Approach to Object Region Detection in Multimodal Machine Translation — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  60. A Holistic Approach to Reference-Free Evaluation of Machine Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  61. A New Approach Towards Autoformalization — 2023 · arXiv:2310.07957
  62. A Study on the Effectiveness of Large Language Models for Translation with Markup — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  63. A Survey of Evaluation Methods of Generated Medical Textual Reports — 2023 · Proceedings of the 5th Clinical Natural Language Processing Workshop
  64. A Survey on Zero Pronoun Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  65. Adapting Machine Translation Education to the Neural Era: A Case Study of MT Quality Assessment — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
  66. BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  67. Bad MT Systems are Good for Quality Estimation — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  68. Better Translation + Split and Generate for Multilingual RDF-to-Text (WebNLG 2023) — 2023 · Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)
  69. BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  70. Bring More Attention to Syntactic Symmetry for Automatic Postediting of High-Quality Machine Translations — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  71. CTC Alignments Improve Autoregressive Translation — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  72. Countering Misinformation via Emotional Response Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  73. Cross-modality Data Augmentation for End-to-End Sign Language Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  74. DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  75. Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus — 2023 · arXiv:2305.11142 · ACL 2023
  76. Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  77. Document-Level Machine Translation with Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  78. Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts — 2023 · arXiv:2309.12863
  79. End-to-End Simultaneous Speech Translation with Differentiable Segmentation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  80. Evaluating Machine Translation Quality with Conformal Predictive Distributions — 2023 · arXiv:2306.01549
  81. Evaluating Multilingual Speech Translation under Realistic Conditions with Resegmentation and Terminology — 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
  82. Findings of the WMT 2023 Shared Task on Automatic Post-Editing — 2023 · Proceedings of the Eighth Conference on Machine Translation
  83. Findings of the WMT 2023 Shared Task on Quality Estimation — 2023 · Proceedings of the Eighth Conference on Machine Translation
  84. Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges — 2023 · Proceedings of the First Workshop on Gender-Inclusive Translation Technologies
  85. HW-TSC's Participation in the WMT 2023 Automatic Post Editing Shared Task — 2023 · Proceedings of the Eighth Conference on Machine Translation
  86. Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  87. How effective is machine translation on low-resource code-switching? A case study comparing human and automatic metrics — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  88. Human-in-the-loop Machine Translation with Large Language Model — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track
  89. INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  90. Improved Pseudo Data for Machine Translation Quality Estimation with Constrained Beam Search — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  91. Improving Language Model Integration for Neural Machine Translation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  92. Improving Long Context Document-Level Machine Translation — 2023 · Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023)
  93. Improving Translation Quality Estimation with Bias Mitigation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  94. IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  95. Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine — 2023 · arXiv:2301.08745
  96. KG-BERTScore: Incorporating Knowledge Graph into BERTScore for Reference-Free Machine Translation Evaluation — 2023 · arXiv:2301.12699
  97. Learning from Past Mistakes: Quality Estimation from Monolingual Corpora and Machine Translation Learning Stages — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  98. Leveraging GPT-4 for Automatic Translation Post-Editing — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  99. MATEO: MAchine Translation Evaluation Online — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
  100. Machine Translation with Large Language Models: Prompting, Few-shot Learning, and Fine-tuning with QLoRA — 2023 · Proceedings of the Eighth Conference on Machine Translation

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