---
title: "Who cites chrF: character n-gram F-score for automatic MT…"
description: "The papers of the Elamur Research library that cite «chrF: character n-gram F-score for automatic MT evaluation», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/8/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/8/)

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# Who cites «chrF: character n-gram F-score for automatic MT evaluation» · page 8

1094 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/popovic-2015-chrf-character-n-gram-f/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/) · … · [7](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/7/) · **8** · [9](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/9/) · [10](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/10/) · [11](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/11/)

1. [Larth: Dataset and Machine Translation for Etruscan](https://aclanthology.org/2023.alp-1.5/) *— 2023 · Proceedings of the Ancient Language Processing Workshop*
2. [Learning Language-Specific Layers for Multilingual Machine Translation](https://aclanthology.org/2023.acl-long.825/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [Length Does Matter: Summary Length can Bias Summarization Metrics](https://aclanthology.org/2023.emnlp-main.984/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
4. [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*
5. [Leveraging Latent Topic Information to Improve Product Machine Translation](https://aclanthology.org/2023.mtsummit-users.10/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track*
6. [MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods](https://arxiv.org/abs/2309.10966) *— 2023 · arXiv:2309.10966*
7. [MEE4 and XLsim : IIIT HYD”s Submissions” for WMT23 Metrics Shared Task](https://aclanthology.org/2023.wmt-1.66/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
8. [MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types](https://aclanthology.org/2023.findings-acl.274/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
9. [MUNI-NLP Systems for Low-resource Indic Machine Translation](https://aclanthology.org/2023.wmt-1.91/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
10. [Machine Translation Advancements for Low-Resource Indian Languages in WMT23: CFILT-IITB”s Effort for Bridging the Gap](https://aclanthology.org/2023.wmt-1.89/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
11. [Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting](https://aclanthology.org/2023.findings-eacl.127/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
12. [Machine Translation for Low-resource Finno-Ugric Languages](https://aclanthology.org/2023.nodalida-1.77/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
13. [Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model](https://aclanthology.org/2023.acl-long.198/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [Metric Score Landscape Challenge (MSLC23): Understanding Metrics” Performance on a Wider Landscape of Translation Quality](https://aclanthology.org/2023.wmt-1.65/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
15. [MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task](https://aclanthology.org/2023.wmt-1.63/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
16. [Multi-Parallel Corpus of North Levantine Arabic](https://aclanthology.org/2023.arabicnlp-1.34/) *— 2023 · Proceedings of ArabicNLP 2023*
17. [Multidimensional Evaluation for Text Style Transfer Using ChatGPT](https://arxiv.org/abs/2304.13462) *— 2023 · arXiv:2304.13462*
18. [Multifaceted Challenge Set for Evaluating Machine Translation Performance](https://aclanthology.org/2023.wmt-1.22/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
19. [Murreviikko - A Dialectologically Annotated and Normalized Dataset of Finnish Tweets](https://aclanthology.org/2023.vardial-1.3/) *— 2023 · Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023)*
20. [NITS-CNLP Low-Resource Neural Machine Translation Systems of English-Manipuri Language Pair](https://aclanthology.org/2023.wmt-1.92/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
21. [Neural Machine Translation Methods for Translating Text to Sign Language Glosses](https://aclanthology.org/2023.acl-long.700/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
22. [On the Copying Problem of Unsupervised NMT: A Training Schedule with a Language Discriminator Loss](https://aclanthology.org/2023.iwslt-1.48/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
23. [On the Efficacy of Sampling Adapters](https://aclanthology.org/2023.acl-long.80/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
24. [On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software](https://aclanthology.org/2023.nllp-1.23/) *— 2023 · Proceedings of the Natural Legal Language Processing Workshop 2023*
25. [PE effort and neural-based automatic MT metrics: do they correlate?](https://aclanthology.org/2023.eamt-1.31/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
26. [Perplexity-Driven Case Encoding Needs Augmentation for CAPITALIZATION Robustness](https://aclanthology.org/2023.ijcnlp-short.17/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)*
27. [Pivot Translation for Zero-resource Language Pairs Based on a Multilingual Pretrained Model](https://aclanthology.org/2023.mtsummit-research.29/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
28. [Poor Man”s Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference](https://aclanthology.org/2023.eacl-main.95/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
29. [Post-hoc Utterance Refining Method by Entity Mining for Faithful Knowledge Grounded Conversations](https://aclanthology.org/2023.emnlp-main.295/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
30. [Prompt2Model: Generating Deployable Models from Natural Language Instructions](https://aclanthology.org/2023.emnlp-demo.38/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
31. [Pulling Out All The Full Stops: Punctuation Sensitivity in Neural Machine Translation and Evaluation](https://aclanthology.org/2023.findings-acl.381/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
32. [Quality Analysis of Multilingual Neural Machine Translation Systems and Reference Test Translations for the English-Romanian language pair in the Medical Domain](https://aclanthology.org/2023.eamt-1.35/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
33. [RISE: Leveraging Retrieval Techniques for Summarization Evaluation](https://aclanthology.org/2023.findings-acl.865/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
34. [RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question](https://aclanthology.org/2023.findings-acl.428/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
35. [Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity](https://arxiv.org/abs/2301.12867) *— 2023 · arXiv:2301.12867*
36. [Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework](https://aclanthology.org/2023.acl-long.779/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
37. [Reference-Free Summarization Evaluation with Large Language Models](https://aclanthology.org/2023.eval4nlp-1.16/) *— 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems*
38. [Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent](https://aclanthology.org/2023.wmt-1.51/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
39. [Rethinking Round-Trip Translation for Machine Translation Evaluation](https://aclanthology.org/2023.findings-acl.22/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
40. [Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation](https://aclanthology.org/2023.acl-long.228/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
41. [SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes](https://aclanthology.org/2023.acl-long.283/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
42. [SOTASTREAM: A Streaming Approach to Machine Translation Training](https://aclanthology.org/2023.nlposs-1.13/) *— 2023 · Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023)*
43. [Scaling Law for Document Neural Machine Translation](https://aclanthology.org/2023.findings-emnlp.556/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
44. [Script Normalization for Unconventional Writing of Under-Resourced Languages in Bilingual Communities](https://aclanthology.org/2023.acl-long.809/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
45. [Seamless: Multilingual Expressive and Streaming Speech Translation](https://arxiv.org/abs/2312.05187) *— 2023 · arXiv:2312.05187*
46. [SeamlessM4T: Massively Multilingual & Multimodal Machine Translation](https://arxiv.org/abs/2308.11596) *— 2023 · arXiv:2308.11596*
47. [Searching for Needles in a Haystack: On the Role of Incidental Bilingualism in PaLM”s Translation Capability](https://aclanthology.org/2023.acl-long.524/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
48. [SelectNoise: Unsupervised Noise Injection to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages](https://aclanthology.org/2023.findings-emnlp.109/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
49. [Separating the Wheat from the Chaff with BREAD: An open-source benchmark and metrics to detect redundancy in text](https://aclanthology.org/2023.gem-1.27/) *— 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
50. [Sheffield's Submission to the AmericasNLP Shared Task on Machine Translation into Indigenous Languages](https://aclanthology.org/2023.americasnlp-1.21/) *— 2023 · Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)*
51. [Simple and Effective Input Reformulations for Translation](https://aclanthology.org/2023.emnlp-main.638/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
52. [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)*
53. [Some Trials on Ancient Modern Chinese Translation](https://aclanthology.org/2023.alt-1.4/) *— 2023 · Proceedings of ALT2023: Ancient Language Translation Workshop*
54. [Speech Translation with Style: AppTek”s Submissions to the IWSLT Subtitling and Formality Tracks in 2023](https://aclanthology.org/2023.iwslt-1.22/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
55. [Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning](https://aclanthology.org/2023.findings-emnlp.744/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
56. [Subword Segmental Machine Translation: Unifying Segmentation and Target Sentence Generation](https://aclanthology.org/2023.findings-acl.175/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
57. [T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics](https://aclanthology.org/2023.findings-emnlp.1014/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
58. [TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties](https://aclanthology.org/2023.arabicnlp-1.6/) *— 2023 · Proceedings of ArabicNLP 2023*
59. [TTIC's Submission to WMT-SLT 23](https://aclanthology.org/2023.wmt-1.35/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
60. [TaTA: A Multilingual Table-to-Text Dataset for African Languages](https://aclanthology.org/2023.findings-emnlp.118/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
61. [Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization](https://aclanthology.org/2023.acl-long.47/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
62. [Text Style Transfer Back-Translation](https://aclanthology.org/2023.acl-long.441/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
63. [That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context?](https://aclanthology.org/2023.findings-emnlp.302/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
64. [The Helsinki-NLP Submissions at NADI 2023 Shared Task: Walking the Baseline](https://aclanthology.org/2023.arabicnlp-1.73/) *— 2023 · Proceedings of ArabicNLP 2023*
65. [The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics](https://aclanthology.org/2023.acl-short.94/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
66. [The OPUS-MT Dashboard – A Toolkit for a Systematic Evaluation of Open Machine Translation Models](https://aclanthology.org/2023.acl-demo.30/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
67. [The Role of Compounds in Human vs. Machine Translation Quality](https://aclanthology.org/2023.mtsummit-research.21/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
68. [The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/akerman-2023-ebible-corpus-data-model-benchmarks/) *— our card · 2023 · arXiv:2304.09919*
69. [Tokengram_F, a Fast and Accurate Token-based chrF++ Derivative](https://aclanthology.org/2023.wmt-1.59/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
70. [Tokenization and the Noiseless Channel](https://aclanthology.org/2023.acl-long.284/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
71. [Towards Example-Based NMT with Multi-Levenshtein Transformers](https://aclanthology.org/2023.emnlp-main.113/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
72. [Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Language](https://aclanthology.org/2023.icon-1.28/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
73. [Towards Low-resource Language Generation with Limited Supervision](https://aclanthology.org/2023.bigpicture-1.7/) *— 2023 · Proceedings of the Big Picture Workshop*
74. [Towards Making the Most of ChatGPT for Machine Translation](https://aclanthology.org/2023.findings-emnlp.373/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
75. [Toxicity in Multilingual Machine Translation at Scale](https://aclanthology.org/2023.findings-emnlp.642/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
76. [Train Global, Tailor Local: Minimalist Multilingual Translation into Endangered Languages](https://aclanthology.org/2023.loresmt-1.1/) *— 2023 · Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)*
77. [Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level](https://aclanthology.org/2023.wmt-1.96/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
78. [Transfer learning in low-resourced MT: An empirical study](https://aclanthology.org/2023.icon-1.63/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
79. [Translating Ancient Chinese to Modern Chinese at Scale: A Large Language Model-based Approach](https://aclanthology.org/2023.alt-1.9/) *— 2023 · Proceedings of ALT2023: Ancient Language Translation Workshop*
80. [Unsupervised Feature Selection for Effective Parallel Corpus Filtering](https://aclanthology.org/2023.eamt-1.4/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
81. [Using Large Language Models for Zero-Shot Natural Language Generation from Knowledge Graphs](https://aclanthology.org/2023.mmnlg-1.5/) *— 2023 · Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)*
82. [Using MT for multilingual covid-19 case load prediction from social media texts](https://aclanthology.org/2023.eamt-1.45/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
83. [VARCO-MT: NCSOFT”s WMT”23 Terminology Shared Task Submission](https://aclanthology.org/2023.wmt-1.84/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
84. [What changes when you randomly choose BPE merge operations? Not much.](https://aclanthology.org/2023.insights-1.7/) *— 2023 · Proceedings of the Fourth Workshop on Insights from Negative Results in NLP*
85. [XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages](https://aclanthology.org/2023.findings-emnlp.125/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
86. [eBLEU: Unexpectedly Good Machine Translation Evaluation Using Simple Word Embeddings](https://aclanthology.org/2023.wmt-1.61/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
87. [f-Divergence Minimization for Sequence-Level Knowledge Distillation](https://aclanthology.org/2023.acl-long.605/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
88. [A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation – through the Lens of Semantic Similarity Rating](https://aclanthology.org/2022.starsem-1.14/) *— 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics*
89. [A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation](https://aclanthology.org/2022.naacl-main.223/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
90. [A Parallel Corpus and Dictionary for Amis-Mandarin Translation](https://aclanthology.org/2022.nlp4dh-1.11/) *— 2022 · Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities*
91. [A Quality Estimation and Quality Evaluation Tool for the Translation Industry](https://aclanthology.org/2022.eamt-1.43/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
92. [A Study on Manual and Automatic Evaluation for Text Style Transfer: The Case of Detoxification](https://aclanthology.org/2022.humeval-1.8/) *— 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)*
93. [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*
94. [Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons](https://aclanthology.org/2022.acl-long.600/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
95. [Adam Mickiewicz University at WMT 2022: NER-Assisted and Quality-Aware Neural Machine Translation](https://aclanthology.org/2022.wmt-1.26/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
96. [All You Need is Source! A Study on Source-based Quality Estimation for Neural Machine Translation](https://aclanthology.org/2022.amta-upg.15/) *— 2022 · Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas (Volume 2: Users and Providers Track and Government Track)*
97. [AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages](https://aclanthology.org/2022.acl-long.435/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
98. [An Automatic Evaluation of the WMT22 General Machine Translation Task](https://arxiv.org/abs/2209.14172) *— 2022 · arXiv:2209.14172*
99. [Anticipation-Free Training for Simultaneous Machine Translation](https://aclanthology.org/2022.iwslt-1.5/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
100. [Approaching English-Polish Machine Translation Quality Assessment with Neural-based Methods](https://arxiv.org/abs/2209.11016) *— 2022 · arXiv:2209.11016 · Proceedings of the PolEval 2021 Workshop, 2021, 73-78*

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