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Who cites «chrF deconstructed: beta parameters and n-gram weights»

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

  1. Creativity Bias: How Machine Evaluation Struggles with Creativity in Literary Translations — 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)
  2. Desarrollo de modelos de TAN para las lenguas románicas de la península ibérica — 2026 · Procesamiento del Lenguaje Natural, Vol. 76 (2026)
  3. A Cross-Lingual Perspective on Neural Machine Translation Difficulty — 2025 · Proceedings of the Tenth Conference on Machine Translation
  4. Crosslingual Optimized Metric for Translation Assessment of Indian Languages — 2025 · arXiv:2509.17667
  5. Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  6. Enhancing Scientific Discourse: Machine Translation for the Scientific Domain — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  7. An Open-Source Gloss-Based Baseline for Spoken to Signed Language Translation — 2023 · Proceedings of the Second International Workshop on Automatic Translation for Signed and Spoken Languages
  8. Considerations for meaningful sign language machine translation based on glosses — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  9. Robustness of Multi-Source MT to Transcription Errors — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  10. A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation – through the Lens of Semantic Similarity Rating — 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics
  11. Sample, Translate, Recombine: Leveraging Audio Alignments for Data Augmentation in End-to-end Speech Translation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  12. Too Brittle to Touch: Comparing the Stability of Quantization and Distillation towards Developing Low-Resource MT Models — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  13. Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR — our card · 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  14. Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation — 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)
  15. A General Benchmarking Framework for Text Generation — 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)
  16. A Parallel Evaluation Data Set of Software Documentation with Document Structure Annotation — 2020 · Proceedings of the 7th Workshop on Asian Translation
  17. PuzzLing Machines: A Challenge on Learning From Small Data — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  18. A Study of Incorrect Paraphrases in Crowdsourced User Utterances — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  19. On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  20. banerjee-2023-comparing-dae-based-mass-based
  21. buschbeck-2022-hi-how-can-i-help
  22. chang-2022-anticipation-free-training-simultaneous-machine
  23. farhansyah-2025-do-language-models-understand-honorific
  24. hopton-2026-ctc-regularization-low-resource-speech
  25. knowles-2022-test-set-sampling-affects-system
  26. merkhofer-2021-perceptual-models-machine-edited-text
  27. pikabea-2025-breaking-language-barriers-visual-language
  28. soni-2024-romantra-optimizing-neural-machine-translation
  29. wheeler-2025-reducing-environmental-costs-whilst-maintaining
  30. yao-2024-semi-supervised-spoken-language-glossification

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