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# Who cites «CharacTer: Translation Edit Rate on Character Level»

85 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/wang-2016-character-translation-edit-rate-character/)

1. [IndicQE-APE: A Consolidated Benchmark for Quality Estimation and Automatic Post-Editing for Indic Languages](https://arxiv.org/abs/2608.16344) *— 2026 · arXiv:2608.16344*
2. [Bengali ChartSumm: A Benchmark Dataset and study on feasibility of Large Language Models on Bengali Chart to Text Summarization](https://aclanthology.org/2025.chipsal-1.4/) *— 2025 · Proceedings of the First Workshop on Challenges in Processing South Asian Languages (CHiPSAL 2025)*
3. [Findings of the IWSLT 2025 Evaluation Campaign](https://aclanthology.org/2025.iwslt-1.44/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
4. [Has Machine Translation Evaluation Achieved Human Parity? The Human Reference and the Limits of Progress](https://aclanthology.org/2025.acl-short.63/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
5. [Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models](https://aclanthology.org/2024.emnlp-industry.25/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track*
6. [Exploring the Effectiveness of LLM Domain Adaptation for Business IT Machine Translation](https://aclanthology.org/2024.eamt-1.51/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
7. [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*
8. [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*
9. [Solving Linguistic Olympiad Problems with Tree-of-Thought Prompting](https://aclanthology.org/2023.rocling-1.33/) *— 2023 · Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)*
10. [Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand](https://aclanthology.org/2022.naacl-main.259/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
11. [DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages](https://aclanthology.org/2022.emnlp-main.532/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
12. [Extended Parallel Corpus for Amharic-English Machine Translation](https://aclanthology.org/2022.lrec-1.716/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
13. [Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics](https://aclanthology.org/2022.findings-acl.14/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
14. [The HW-TSC's Offline Speech Translation System for IWSLT 2022 Evaluation](https://aclanthology.org/2022.iwslt-1.20/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
15. [A Tutorial on Evaluation Metrics used in Natural Language Generation](https://aclanthology.org/2021.naacl-tutorials.4/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Tutorials*
16. [Automatic Text Evaluation through the Lens of Wasserstein Barycenters](https://aclanthology.org/2021.emnlp-main.817/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
17. [Continuous Learning in Neural Machine Translation using Bilingual Dictionaries](https://aclanthology.org/2021.eacl-main.70/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
18. [Language Model Augmented Relevance Score](https://aclanthology.org/2021.acl-long.521/) *— 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)*
19. [The HW-TSC's Offline Speech Translation Systems for IWSLT 2021 Evaluation](https://arxiv.org/abs/2108.03845) *— 2021 · arXiv:2108.03845*
20. [To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation](https://aclanthology.org/2021.wmt-1.57/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
21. [Unsupervised Machine Translation On Dravidian Languages](https://aclanthology.org/2021.dravidianlangtech-1.7/) *— 2021 · Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages*
22. [A human evaluation of English-Irish statistical and neural machine translation](https://aclanthology.org/2020.eamt-1.46/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
23. [Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing](https://aclanthology.org/2020.emnlp-main.8/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
24. [Character-level Transformer-based Neural Machine Translation](https://arxiv.org/abs/2005.11239) *— 2020 · arXiv:2005.11239*
25. [FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN](https://aclanthology.org/2020.iwslt-1.1/) *— 2020 · Proceedings of the 17th International Conference on Spoken Language Translation*
26. [MT for subtitling: User evaluation of post-editing productivity](https://aclanthology.org/2020.eamt-1.13/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
27. [Multi-Hypothesis Machine Translation Evaluation](https://aclanthology.org/2020.acl-main.113/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
28. [NRC Systems for Low Resource German-Upper Sorbian Machine Translation 2020: Transfer Learning with Lexical Modifications](https://aclanthology.org/2020.wmt-1.132/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
29. [Neural Machine Translation for translating into Croatian and Serbian](https://aclanthology.org/2020.vardial-1.10/) *— 2020 · Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects*
30. [On the differences between human translations](https://aclanthology.org/2020.eamt-1.39/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
31. [Overview of the 7th Workshop on Asian Translation](https://aclanthology.org/2020.wat-1.1/) *— 2020 · Proceedings of the 7th Workshop on Asian Translation*
32. [Predicting and Using Target Length in Neural Machine Translation](https://aclanthology.org/2020.aacl-main.41/) *— 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing*
33. [PuzzLing Machines: A Challenge on Learning From Small Data](https://aclanthology.org/2020.acl-main.115/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
34. [Results of the WMT20 Metrics Shared Task](https://aclanthology.org/2020.wmt-1.77/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
35. [Zero-Shot Translation Quality Estimation with Explicit Cross-Lingual Patterns](https://aclanthology.org/2020.wmt-1.125/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
36. [Apertium-fin-eng–Rule-based Shallow Machine Translation for WMT 2019 Shared Task](https://md.mova.elamur.ai/free/en/docs/papers/pirinen-2019-apertium-fin-eng-rule-based/) *— our card · 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)*
37. [BERTScore: Evaluating Text Generation with BERT](https://arxiv.org/abs/1904.09675) *— 2019 · arXiv:1904.09675*
38. [Building English-to-Serbian Machine Translation System for IMDb Movie Reviews](https://aclanthology.org/W19-3715/) *— 2019 · Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing*
39. [CUNI Systems for the Unsupervised News Translation Task in WMT 2019](https://aclanthology.org/W19-5323/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)*
40. [Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges](https://arxiv.org/abs/1907.05019) *— 2019 · arXiv:1907.05019*
41. [Overview of the 6th Workshop on Asian Translation](https://aclanthology.org/D19-5201/) *— 2019 · Proceedings of the 6th Workshop on Asian Translation*
42. [Promoting the Knowledge of Source Syntax in Transformer NMT Is Not Needed](https://arxiv.org/abs/1910.11218) *— 2019 · arXiv:1910.11218 · Computac\'ion y Sistemas, Vol. 23, No. 3, 2019, pp. 923-934*
43. [Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation](https://aclanthology.org/P19-1269/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
44. [Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big Challenges](https://aclanthology.org/W19-5302/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)*
45. [The IWSLT 2019 Evaluation Campaign](https://aclanthology.org/2019.iwslt-1.1/) *— 2019 · Proceedings of the 16th International Conference on Spoken Language Translation*
46. [The RWTH Aachen University Machine Translation Systems for WMT 2019](https://aclanthology.org/W19-5338/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)*
47. [ITER: Improving Translation Edit Rate through Optimizable Edit Costs](https://aclanthology.org/W18-6455/) *— 2018 · Proceedings of the Third Conference on Machine Translation: Shared Task Papers*
48. [Metric for Automatic Machine Translation Evaluation based on Universal Sentence Representations](https://aclanthology.org/N18-4015/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop*
49. [RUSE: Regressor Using Sentence Embeddings for Automatic Machine Translation Evaluation](https://aclanthology.org/W18-6456/) *— 2018 · Proceedings of the Third Conference on Machine Translation: Shared Task Papers*
50. [Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance](https://aclanthology.org/W18-6450/) *— 2018 · Proceedings of the Third Conference on Machine Translation: Shared Task Papers*
51. [The IWSLT 2018 Evaluation Campaign](https://aclanthology.org/2018.iwslt-1.1/) *— 2018 · Proceedings of the 15th International Conference on Spoken Language Translation*
52. [The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018](https://aclanthology.org/W18-6426/) *— 2018 · Proceedings of the Third Conference on Machine Translation: Shared Task Papers*
53. [Translating Short Segments with NMT: A Case Study in English-to-Hindi](https://aclanthology.org/2018.eamt-main.23/) *— 2018 · Proceedings of the 21st Annual Conference of the European Association for Machine Translation*
54. [Using Monolingual Data in Neural Machine Translation: a Systematic Study](https://aclanthology.org/W18-6315/) *— 2018 · Proceedings of the Third Conference on Machine Translation: Research Papers*
55. [CHARCUT: Human-Targeted Character-Based MT Evaluation with Loose Differences](https://aclanthology.org/2017.iwslt-1.20/) *— 2017 · Proceedings of the 14th International Conference on Spoken Language Translation*
56. [Evaluating the morphological competence of Machine Translation Systems](https://aclanthology.org/W17-4705/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
57. [Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning](https://aclanthology.org/W17-4708/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
58. [LIMSI@WMT'17](https://aclanthology.org/W17-4721/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
59. [Results of the WMT17 Metrics Shared Task](https://aclanthology.org/W17-4755/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
60. [Results of the WMT17 Neural MT Training Task](https://aclanthology.org/W17-4757/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
61. [The RWTH Aachen University English-German and German-English Machine Translation System for WMT 2017](https://aclanthology.org/W17-4735/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
62. [Tilde's Machine Translation Systems for WMT 2017](https://aclanthology.org/W17-4737/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
63. [Word Representations in Factored Neural Machine Translation](https://aclanthology.org/W17-4703/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
64. [Meta-Evaluation of Translation Evaluation Methods: a systematic up-to-date overview](https://arxiv.org/abs/1605.04515) *— 2016 · arXiv:1605.04515*
65. [Modifications of Machine Translation Evaluation Metrics by Using Word Embeddings](https://aclanthology.org/W16-4505/) *— 2016 · Proceedings of the Sixth Workshop on Hybrid Approaches to Translation (HyTra6)*
66. [The RWTH Aachen Machine Translation System for IWSLT 2016](https://aclanthology.org/2016.iwslt-1.22/) *— 2016 · Proceedings of the 13th International Conference on Spoken Language Translation*
67. aufrant-2022-is-nlp-ready-standardization
68. banar-2020-neural-machine-translation-artwork-titles
69. baruah-2020-nlprl-system-very-low-resource
70. boyd-2018-normalization-context-inter-annotator-agreement
71. kim-2022-vacillating-human-correlation-sacrebleu-unprotected
72. knowles-2022-test-set-sampling-affects-system
73. koneru-2023-analyzing-challenges-neural-machine-translation
74. kvapilikova-2020-cuni-systems-unsupervised-very-low
75. li-2019-comparison-fine-grained-pre-trained
76. nakhle-2023-l-evaluation-de-la-traduction
77. pinnis-2018-developing-neural-machine-translation-service
78. popovic-2019-automatic-error-classification-multiple-error
79. popovic-2020-neural-machine-translation-between-similar
80. popovic-2021-machine-translation-user-reviews
81. sen-2019-iitp-mt-system-gujarati-english
82. singh-2020-nits-cnlp-system-unsupervised-mt
83. stanchev-2020-better-evaluation-metrics-machine-translation
84. zhou-2023-train-global-tailor-local-minimalist
85. zhu-2023-imagine-imagination-based-automatic-evaluation
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