---
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/3/"
---
[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/3/)

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# Who cites «chrF: character n-gram F-score for automatic MT evaluation» · page 3

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/) · [2](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/2/) · **3** · [4](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/4/) · … · [11](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/11/)

1. [CUNI at WMT25 General Translation Task](https://aclanthology.org/2025.wmt-1.44/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
2. [Calibrating Translation Decoding with Quality Estimation on LLMs](https://arxiv.org/abs/2504.19044) *— 2025 · arXiv:2504.19044*
3. [Can LLMs Help Create Grammar?: Automating Grammar Creation for Endangered Languages with In-Context Learning](https://aclanthology.org/2025.coling-main.681/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
4. [Can LLMs Translate Cultural Nuance in Dialects? A Case Study on Lebanese Arabic](https://aclanthology.org/2025.abjadnlp-1.13/) *— 2025 · Proceedings of the 1st Workshop on NLP for Languages Using Arabic Script*
5. [Can Large Language Models Translate Spoken-Only Languages through International Phonetic Transcription?](https://aclanthology.org/2025.emnlp-main.1195/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
6. [Can Uniform Meaning Representation Help GPT-4 Translate from Indigenous Languages?](https://aclanthology.org/2025.acl-short.23/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
7. [Case-Based Decision-Theoretic Decoding with Quality Memories](https://aclanthology.org/2025.emnlp-main.1710/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
8. [Challenge Track: JHARNA-MT: A Copy-Augmented Hybrid of LoRA-Tuned NLLB and Lexical SMT with Minimum Bayes Risk Decoding for Low-Resource Indic Languages](https://aclanthology.org/2025.mmloso-1.13/) *— 2025 · Proceedings of the 1st Workshop on Multimodal Models for Low-Resource Contexts and Social Impact (MMLoSo 2025)*
9. [Challenge Track: LoRAs in All Directions: Directional Adapters and Noisy-Channel Reranking for Indic MT](https://aclanthology.org/2025.mmloso-1.10/) *— 2025 · Proceedings of the 1st Workshop on Multimodal Models for Low-Resource Contexts and Social Impact (MMLoSo 2025)*
10. [Character-Aware English-to-Japanese Translation of Fictional Dialogue Using Speaker Embeddings and Back-Translation](https://aclanthology.org/2025.wmt-1.10/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
11. [Claim veracity assessment for explainable fake news detection](https://aclanthology.org/2025.coling-main.270/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
12. [Comprehensive Evaluation on Lexical Normalization: Boundary-Aware Approaches for Unsegmented Languages](https://aclanthology.org/2025.findings-emnlp.684/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
13. [Confidence and Stability of Global and Pairwise Scores in NLP Evaluation](https://aclanthology.org/2025.acl-srw.3/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
14. [Context Is Ubiquitous, but Rarely Changes Judgments: Revisiting Document-Level MT Evaluation](https://aclanthology.org/2025.wmt-1.5/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
15. [Context-Aware or Context-Insensitive? Assessing LLMs' Performance in Document-Level Translation](https://aclanthology.org/2025.mtsummit-1.10/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
16. [Context-Informed Machine Translation of Manga using Multimodal Large Language Models](https://aclanthology.org/2025.coling-main.232/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
17. [Continual Learning in Multilingual Sign Language Translation](https://aclanthology.org/2025.naacl-long.546/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
18. [ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation](https://aclanthology.org/2025.ijcnlp-long.163/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
19. [Correcting the Tamazight Portions of FLORES+ and OLDI Seed Datasets](https://aclanthology.org/2025.wmt-1.82/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
20. [Cost-Effective E-Commerce Catalog Translation at Scale Ensuring Named Entity Protection](https://aclanthology.org/2025.emnlp-industry.81/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track*
21. [Cross-Lingual Sentence Compression for Length-Constrained Subtitles in Low-Resource Settings](https://aclanthology.org/2025.coling-main.429/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
22. [Crosslingual Optimized Metric for Translation Assessment of Indian Languages](https://arxiv.org/abs/2509.17667) *— 2025 · arXiv:2509.17667*
23. [CycleDistill: Bootstrapping Machine Translation using LLMs with Cyclical Distillation](https://arxiv.org/abs/2506.19952) *— 2025 · arXiv:2506.19952*
24. [DELAB-IIITM WMT25: Enhancing Low-Resource Machine Translation for Manipuri and Assamese](https://aclanthology.org/2025.wmt-1.98/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
25. [DITING: A Multi-Agent Evaluation Framework for Benchmarking Web Novel Translation](https://arxiv.org/abs/2510.09116) *— 2025 · arXiv:2510.09116*
26. [D\”ejà Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation](https://arxiv.org/abs/2504.11829) *— 2025 · arXiv:2504.11829*
27. [DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine Translation](https://aclanthology.org/2025.cl-2.1/) *— 2025 · Computational Linguistics*
28. [DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking](https://aclanthology.org/2025.findings-naacl.356/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
29. [Dialectal and Low Resource Machine Translation for Aromanian](https://aclanthology.org/2025.coling-main.481/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
30. [Dialetto, ma Quanto Dialetto? Transcribing and Evaluating Dialects on a Continuum](https://aclanthology.org/2025.findings-naacl.48/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
31. [Did Translation Models Get More Robust Without Anyone Even Noticing?](https://aclanthology.org/2025.acl-long.122/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
32. [DiscoX: Benchmarking Discourse-Level Translation task in Expert Domains](https://arxiv.org/abs/2511.10984) *— 2025 · arXiv:2511.10984*
33. [Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding](https://aclanthology.org/2025.acl-long.1410/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
34. [Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question Answering](https://arxiv.org/abs/2504.07583) *— 2025 · arXiv:2504.07583*
35. [DoDS-IITPKD:Submissions to the WMT25 Low-Resource Indic Language Translation Task](https://aclanthology.org/2025.wmt-1.102/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
36. [Don”t Teach Minerva": Guiding LLMs Through Complex Syntax for Faithful Latin Translation with RAG](https://arxiv.org/abs/2511.01454) *— 2025 · arXiv:2511.01454*
37. [Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation](https://aclanthology.org/2025.inlg-main.10/) *— 2025 · Proceedings of the 18th International Natural Language Generation Conference*
38. [EdinHelsOW WMT 2025 CreoleMT System Description: Improving Lusophone Creole Translation through Data Augmentation, Model Merging and LLM Post-editing](https://aclanthology.org/2025.wmt-1.91/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
39. [Evaluating Evaluation Metrics for Ancient Chinese to English Machine Translation](https://aclanthology.org/2025.alp-1.9/) *— 2025 · Proceedings of the Second Workshop on Ancient Language Processing*
40. [Evaluating Synthetic Data Generation from User Generated Text](https://aclanthology.org/2025.cl-1.6/) *— 2025 · Computational Linguistics*
41. [Evaluating WMT 2025 Metrics Shared Task Submissions on the SSA-MTE African Challenge Set](https://aclanthology.org/2025.wmt-1.65/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
42. [Evaluating and Improving Graph to Text Generation with Large Language Models](https://aclanthology.org/2025.naacl-long.513/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
43. [Evaluating the LLM and NMT Models in Translating Low-Resourced Languages](https://aclanthology.org/2025.r2lm-1.13/) *— 2025 · Proceedings of the First Workshop on Comparative Performance Evaluation: From Rules to Language Models*
44. [Expanding the WMT24++ Benchmark with Rumantsch Grischun, Sursilvan, Sutsilvan, Surmiran, Puter, and Vallader](https://aclanthology.org/2025.wmt-1.79/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
45. [Exploiting Task Reversibility of DRS Parsing and Generation: Challenges and Insights from a Multi-lingual Perspective](https://md.research.elamur.ai/free/en/papers/amin-2025-exploiting-task-reversibility-drs-parsing/) *— our card · 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages*
46. [Extending Automatic Machine Translation Evaluation to Book-Length Documents](https://aclanthology.org/2025.emnlp-main.1645/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
47. [Extending CREAMT: Leveraging Large Language Models for Literary Translation Post-Editing](https://aclanthology.org/2025.mtsummit-1.40/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
48. [FUSE : A Ridge and Random Forest-Based Metric for Evaluating MT in Indigenous Languages](https://aclanthology.org/2025.americasnlp-1.8/) *— 2025 · Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)*
49. [Factors Affecting Translation Quality in In-context Learning for Multilingual Medical Domain](https://aclanthology.org/2025.wmt-1.9/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
50. [Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction](https://aclanthology.org/2025.findings-naacl.466/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
51. [Feeding Two Birds or Favoring One? Adequacy-Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation](https://arxiv.org/abs/2509.20287) *— 2025 · arXiv:2509.20287*
52. [Feeding Two Birds or Favoring One? Adequacy–Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation](https://aclanthology.org/2025.wmt-1.16/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
53. [Findings of WMT 2025 Shared Task on Low-resource Indic Languages Translation](https://aclanthology.org/2025.wmt-1.29/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
54. [Findings of the First Shared Task for Creole Language Machine Translation at WMT25](https://aclanthology.org/2025.wmt-1.28/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
55. [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)*
56. [Findings of the MMLoSo 2025 Shared Task on Machine Translation into Tribal Languages](https://aclanthology.org/2025.mmloso-1.14/) *— 2025 · Proceedings of the 1st Workshop on Multimodal Models for Low-Resource Contexts and Social Impact (MMLoSo 2025)*
57. [Findings of the WMT 2025 Shared Task LLMs with Limited Resources for Slavic Languages: MT and QA](https://aclanthology.org/2025.wmt-1.27/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
58. [Findings of the WMT25 Multilingual Instruction Shared Task: Persistent Hurdles in Reasoning, Generation, and Evaluation](https://aclanthology.org/2025.wmt-1.23/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
59. [Findings of the WMT25 Shared Task on Automated Translation Evaluation Systems: Linguistic Diversity is Challenging and References Still Help](https://aclanthology.org/2025.wmt-1.24/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
60. [Fine-Grained and Multi-Dimensional Metrics for Document-Level Machine Translation](https://aclanthology.org/2025.naacl-srw.1/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)*
61. [Fine-Tuning vs Prompting Techniques for Gender-Fair Rewriting of Machine Translations](https://aclanthology.org/2025.gebnlp-1.28/) *— 2025 · Proceedings of the 6th Workshop on Gender Bias in Natural Language Processing (GeBNLP)*
62. [Fine-tuning and evaluation of NMT models for literary texts using RomCro v.2.0](https://aclanthology.org/2025.ctt-1.4/) *— 2025 · Proceedings of the Second Workshop on Creative-text Translation and Technology (CTT)*
63. [First Steps in Benchmarking Latvian in Large Language Models](https://aclanthology.org/2025.resourceful-1.22/) *— 2025 · Proceedings of the Third Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2025)*
64. [From Priest to Doctor: Domain Adaptation for Low-Resource Neural Machine Translation](https://aclanthology.org/2025.coling-main.472/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
65. [From Scratch to Fine-Tuned: A Comparative Study of Transformer Training Strategies for Legal Machine Translation](https://aclanthology.org/2025.justnlp-main.20/) *— 2025 · Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025)*
66. [GRAMMAR-LLM: Grammar-Constrained Natural Language Generation](https://aclanthology.org/2025.findings-acl.177/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
67. [Google Translate's Research Submission to WMT2025](https://aclanthology.org/2025.wmt-1.48/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
68. [Graph-Assisted Culturally Adaptable Idiomatic Translation for Indic languages](https://aclanthology.org/2025.findings-acl.367/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
69. [Graph-based RAG for Low-Resource Aromanian–Romanian Translation](https://aclanthology.org/2025.ranlp-1.47/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
70. [Guaranteed Guess: A Language Modeling Approach for CISC-to-RISC Transpilation with Testing Guarantees](https://aclanthology.org/2025.findings-emnlp.1330/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
71. [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)*
72. [How to Evaluate Speech Translation with Source-Aware Neural MT Metrics](https://arxiv.org/abs/2511.03295) *— 2025 · arXiv:2511.03295*
73. [How to Select Datapoints for Efficient Human Evaluation of NLG Models?](https://aclanthology.org/2025.tacl-1.80/) *— 2025 · Transactions of the Association for Computational Linguistics*
74. [Human- or machine-translated subtitles: Who can tell them apart?](https://aclanthology.org/2025.mtsummit-1.39/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
75. [INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic Languages](https://aclanthology.org/2025.findings-naacl.141/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
76. [Image-Text Relation Prediction for Multilingual Tweets](https://aclanthology.org/2025.nbreal-1.4/) *— 2025 · Proceedings of the 1st Workshop on Nordic-Baltic Responsible Evaluation and Alignment of Language Models (NB-REAL 2025)*
77. [Improving Language Transfer Capability of Decoder-only Architecture in Multilingual Neural Machine Translation](https://aclanthology.org/2025.mrl-main.13/) *— 2025 · Proceedings of the 5th Workshop on Multilingual Representation Learning (MRL 2025)*
78. [Improving Low-Resource Japanese Translation with Fine-Tuning and Backtranslation for the WMT 25 General Translation Task](https://aclanthology.org/2025.wmt-1.52/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
79. [Improving Zero-shot Sentence Decontextualisation with Content Selection and Planning](https://aclanthology.org/2025.emnlp-main.1258/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
80. [Inductive Linguistic Reasoning with Large Language Models](https://aclanthology.org/2025.findings-acl.1171/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
81. [Instruction-Tuned English to Bhojpuri Neural Machine Translation Using Contrastive Preference Optimization](https://aclanthology.org/2025.wmt-1.38/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
82. [Instruction-tuned Large Language Models for Machine Translation in the Medical Domain](https://aclanthology.org/2025.mtsummit-1.13/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
83. [Interdisciplinary Research in Conversation: A Case Study in Computational Morphology for Language Documentation](https://aclanthology.org/2025.emnlp-main.568/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
84. [Intrinsic vs. Extrinsic Evaluation of Czech Sentence Embeddings: Semantic Relevance Doesn”t Help with MT Evaluation](https://aclanthology.org/2025.mtsummit-1.20/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
85. [Investigating Length Issues in Document-level Machine Translation](https://aclanthology.org/2025.mtsummit-1.3/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
86. [Investigating the translation capabilities of Large Language Models trained on parallel data only](https://aclanthology.org/2025.mtsummit-1.4/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
87. [It Takes Two: A Dual Stage Approach for Terminology-Aware Translation](https://aclanthology.org/2025.wmt-1.112/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
88. [JHU WMT 2025 CreoleMT System Description: Data for Belizean Kriol and French Guianese Creole MT](https://aclanthology.org/2025.wmt-1.93/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
89. [JHU's Submission to the AmericasNLP 2025 Shared Task on the Creation of Educational Materials for Indigenous Languages](https://aclanthology.org/2025.americasnlp-1.12/) *— 2025 · Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)*
90. [JU-CSE-NLP's Cascaded Speech to Text Translation Systems for IWSLT 2025 in Indic Track](https://aclanthology.org/2025.iwslt-1.18/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
91. [JU-NLP: Improving Low-Resource Indic Translation System with Efficient LoRA-Based Adaptation](https://aclanthology.org/2025.wmt-1.95/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
92. [KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding](https://aclanthology.org/2025.findings-acl.1135/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
93. [KozKreolMRU WMT 2025 CreoleMT System Description: Koz Kreol: Multi-Stage Training for English–Mauritian Creole MT](https://aclanthology.org/2025.wmt-1.92/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
94. [Krey-All WMT 2025 CreoleMT System Description: Language Agnostic Strategies for Low-Resource Translation](https://aclanthology.org/2025.wmt-1.90/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
95. [LLM as a Broken Telephone: Iterative Generation Distorts Information](https://aclanthology.org/2025.acl-long.371/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
96. [LLMs Are Not Scorers: Rethinking MT Evaluation with Generation-Based Methods](https://arxiv.org/abs/2505.16129) *— 2025 · arXiv:2505.16129*
97. [LLMs for Low-Resource Dialect Translation Using Context-Aware Prompting: A Case Study on Sylheti](https://aclanthology.org/2025.banglalp-1.24/) *— 2025 · Proceedings of the Second Workshop on Bangla Language Processing (BLP-2025)*
98. [LLMs for Translation: Historical, Low-Resourced Languages and Contemporary AI Models](https://aclanthology.org/2025.latechclfl-1.20/) *— 2025 · Proceedings of the 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2025)*
99. [LOBSTER: Linguistics Olympiad Benchmark for Structured Evaluation on Reasoning](https://aclanthology.org/2025.rocling-main.23/) *— 2025 · Proceedings of the 37th Conference on Computational Linguistics and Speech Processing (ROCLING 2025)*
100. [LangMark: A Multilingual Dataset for Automatic Post-Editing](https://aclanthology.org/2025.acl-long.1569/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*

Pages: [1](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/) · [2](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/2/) · **3** · [4](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/4/) · … · [11](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/11/)