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# 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](https://md.mova.elamur.ai/free/en/docs/papers/snover-2006-study-translation-edit-rate-targeted/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted/) · **2** · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-10/) · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-11/) · [12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-12/) · [13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-13/) · [14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-14/) · [15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-15/) · [16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-16/)

1. [Convergences and Divergences between Automatic Assessment and Human Evaluation: Insights from Comparing ChatGPT-Generated Translation and Neural Machine Translation](https://arxiv.org/abs/2401.05176) *— 2024 · arXiv:2401.05176*
2. [Correcting FLORES Evaluation Dataset for Four African Languages](https://aclanthology.org/2024.wmt-1.44/) *— 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](https://arxiv.org/abs/2405.11668) *— 2024 · arXiv:2405.11668*
4. [DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding](https://aclanthology.org/2024.lrec-main.395/) *— 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](https://aclanthology.org/2024.lrec-main.473/) *— 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](https://aclanthology.org/2024.eamt-1.18/) *— 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](https://aclanthology.org/2024.eacl-long.110/) *— 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](https://aclanthology.org/2024.lrec-main.550/) *— 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](https://aclanthology.org/2024.wmt-1.76/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
10. [Enhancing Gender-Inclusive Machine Translation with Neomorphemes and Large Language Models](https://aclanthology.org/2024.eamt-1.25/) *— 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](https://aclanthology.org/2024.lrec-main.565/) *— 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](https://aclanthology.org/2024.wmt-1.41/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
13. [Findings of WMT 2024 Shared Task on Low-Resource Indic Languages Translation](https://aclanthology.org/2024.wmt-1.54/) *— 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](https://aclanthology.org/2024.wmt-1.57/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
15. [Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains](https://aclanthology.org/2024.acl-short.45/) *— 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](https://aclanthology.org/2024.findings-acl.707/) *— 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](https://aclanthology.org/2024.naacl-long.128/) *— 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](https://arxiv.org/abs/2403.14118) *— 2024 · arXiv:2403.14118 · 2024 International Joint Conference on Neural Networks (IJCNN)*
19. [Gradable ChatGPT Translation Evaluation](https://arxiv.org/abs/2401.09984) *— 2024 · arXiv:2401.09984*
20. [Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations](https://aclanthology.org/2024.findings-naacl.265/) *— 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](https://aclanthology.org/2024.findings-eacl.98/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
22. [How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages?](https://aclanthology.org/2024.acl-short.58/) *— 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](https://aclanthology.org/2024.amta-research.20/) *— 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](https://aclanthology.org/2024.lrec-main.784/) *— 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](https://aclanthology.org/2024.sigul-1.20/) *— 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](https://aclanthology.org/2024.inlg-main.51/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
27. [Is Context Helpful for Chat Translation Evaluation?](https://arxiv.org/abs/2403.08314) *— 2024 · arXiv:2403.08314*
28. [LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training](https://arxiv.org/abs/2401.04348) *— 2024 · arXiv:2401.04348*
29. [LLMs and Translation: different approaches to localization between Brazilian Portuguese and European Portuguese](https://aclanthology.org/2024.propor-1.5/) *— 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](https://aclanthology.org/2024.amta-research.2/) *— 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](https://aclanthology.org/2024.emnlp-main.896/) *— 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](https://aclanthology.org/2024.iwslt-1.31/) *— 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](https://aclanthology.org/2024.ctt-1.7/) *— 2024 · Proceedings of the 1st Workshop on Creative-text Translation and Technology*
34. [Mitigating Metric Bias in Minimum Bayes Risk Decoding](https://aclanthology.org/2024.wmt-1.109/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
35. [Multi-Dimensional Machine Translation Evaluation: Model Evaluation and Resource for Korean](https://aclanthology.org/2024.lrec-main.1024/) *— 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](https://md.mova.elamur.ai/free/en/docs/papers/rubino-2024-normalizing-without-modernizing-keeping-historical/) *— our card · 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
37. [On Instruction-Finetuning Neural Machine Translation Models](https://aclanthology.org/2024.wmt-1.114/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
38. [On Measuring Context Utilization in Document-Level MT Systems](https://aclanthology.org/2024.findings-eacl.113/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
39. [On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models](https://aclanthology.org/2024.acl-short.12/) *— 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](https://aclanthology.org/2024.findings-acl.400/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
41. [Pitfalls and Outlooks in Using COMET](https://aclanthology.org/2024.wmt-1.121/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
42. [Post-edits Are Preferences Too](https://aclanthology.org/2024.wmt-1.122/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
43. [Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation](https://aclanthology.org/2024.eamt-1.54/) *— 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](https://aclanthology.org/2024.eamt-1.14/) *— 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](https://aclanthology.org/2024.humeval-1.1/) *— 2024 · Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024*
46. [SedarEval: Automated Evaluation using Self-Adaptive Rubrics](https://aclanthology.org/2024.findings-emnlp.984/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
47. [SignBLEU: Automatic Evaluation of Multi-channel Sign Language Translation](https://aclanthology.org/2024.lrec-main.1289/) *— 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](https://aclanthology.org/2024.emnlp-main.645/) *— 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](https://aclanthology.org/2024.findings-emnlp.634/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
50. [Tower: An Open Multilingual Large Language Model for Translation-Related Tasks](https://arxiv.org/abs/2402.17733) *— 2024 · arXiv:2402.17733*
51. [Translate your Own: a Post-Editing Experiment in the NLP domain](https://aclanthology.org/2024.eamt-1.36/) *— 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?](https://aclanthology.org/2024.emnlp-main.214/) *— 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](https://aclanthology.org/2024.emnlp-main.1002/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
54. [Word-level Translation Quality Estimation Based on Optimal Transport](https://aclanthology.org/2024.amta-research.18/) *— 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](https://aclanthology.org/2024.emnlp-demo.37/) *— 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](https://aclanthology.org/2024.tacl-1.54/) *— 2024 · Transactions of the Association for Computational Linguistics*
57. [“A Spanish version of EastEnders”: a reception study of a telenovela subtitled using MT](https://www.jostrans.org/article/view/4724) *— 2024 · The Journal of Specialised Translation (JoSTrans)*
58. [文档级神经机器翻译综述](https://jos.org.cn/jos/article/abstract/7217) *— 2024 · 软件学报 (Journal of Software)*
59. [A Filtering Approach to Object Region Detection in Multimodal Machine Translation](https://aclanthology.org/2023.mtsummit-research.33/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
60. [A Holistic Approach to Reference-Free Evaluation of Machine Translation](https://aclanthology.org/2023.acl-short.55/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
61. [A New Approach Towards Autoformalization](https://arxiv.org/abs/2310.07957) *— 2023 · arXiv:2310.07957*
62. [A Study on the Effectiveness of Large Language Models for Translation with Markup](https://aclanthology.org/2023.mtsummit-research.13/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
63. [A Survey of Evaluation Methods of Generated Medical Textual Reports](https://aclanthology.org/2023.clinicalnlp-1.48/) *— 2023 · Proceedings of the 5th Clinical Natural Language Processing Workshop*
64. [A Survey on Zero Pronoun Translation](https://aclanthology.org/2023.acl-long.187/) *— 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](https://aclanthology.org/2023.eamt-1.30/) *— 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](https://aclanthology.org/2023.acl-long.504/) *— 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](https://aclanthology.org/2023.mtsummit-research.17/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
68. [Better Translation + Split and Generate for Multilingual RDF-to-Text (WebNLG 2023)](https://aclanthology.org/2023.mmnlg-1.8/) *— 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](https://aclanthology.org/2023.findings-acl.535/) *— 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](https://aclanthology.org/2023.acl-short.122/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
71. [CTC Alignments Improve Autoregressive Translation](https://aclanthology.org/2023.eacl-main.119/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
72. [Countering Misinformation via Emotional Response Generation](https://aclanthology.org/2023.emnlp-main.703/) *— 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](https://aclanthology.org/2023.findings-emnlp.904/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
74. [DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models](https://aclanthology.org/2023.acl-long.456/) *— 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](https://arxiv.org/abs/2305.11142) *— 2023 · arXiv:2305.11142 · ACL 2023*
76. [Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels](https://aclanthology.org/2023.acl-long.435/) *— 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](https://aclanthology.org/2023.emnlp-main.1036/) *— 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](https://arxiv.org/abs/2309.12863) *— 2023 · arXiv:2309.12863*
79. [End-to-End Simultaneous Speech Translation with Differentiable Segmentation](https://aclanthology.org/2023.findings-acl.485/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
80. [Evaluating Machine Translation Quality with Conformal Predictive Distributions](https://arxiv.org/abs/2306.01549) *— 2023 · arXiv:2306.01549*
81. [Evaluating Multilingual Speech Translation under Realistic Conditions with Resegmentation and Terminology](https://aclanthology.org/2023.iwslt-1.2/) *— 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](https://aclanthology.org/2023.wmt-1.55/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
83. [Findings of the WMT 2023 Shared Task on Quality Estimation](https://aclanthology.org/2023.wmt-1.52/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
84. [Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges](https://aclanthology.org/2023.gitt-1.7/) *— 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](https://aclanthology.org/2023.wmt-1.85/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
86. [Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus](https://aclanthology.org/2023.emnlp-main.873/) *— 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](https://aclanthology.org/2023.findings-acl.893/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
88. [Human-in-the-loop Machine Translation with Large Language Model](https://aclanthology.org/2023.mtsummit-users.8/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track*
89. [INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback](https://aclanthology.org/2023.emnlp-main.365/) *— 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](https://aclanthology.org/2023.emnlp-main.764/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
91. [Improving Language Model Integration for Neural Machine Translation](https://aclanthology.org/2023.findings-acl.444/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
92. [Improving Long Context Document-Level Machine Translation](https://aclanthology.org/2023.codi-1.15/) *— 2023 · Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023)*
93. [Improving Translation Quality Estimation with Bias Mitigation](https://aclanthology.org/2023.acl-long.121/) *— 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](https://aclanthology.org/2023.acl-long.795/) *— 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](https://arxiv.org/abs/2301.08745) *— 2023 · arXiv:2301.08745*
96. [KG-BERTScore: Incorporating Knowledge Graph into BERTScore for Reference-Free Machine Translation Evaluation](https://arxiv.org/abs/2301.12699) *— 2023 · arXiv:2301.12699*
97. [Learning from Past Mistakes: Quality Estimation from Monolingual Corpora and Machine Translation Learning Stages](https://aclanthology.org/2023.mtsummit-research.8/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
98. [Leveraging GPT-4 for Automatic Translation Post-Editing](https://aclanthology.org/2023.findings-emnlp.804/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
99. [MATEO: MAchine Translation Evaluation Online](https://aclanthology.org/2023.eamt-1.52/) *— 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](https://aclanthology.org/2023.wmt-1.43/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*

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