Mova0.5 pre-release⌕
☰
home / docs / papers / cited-by / Who cites «chrF: character n-gram F-score for automatic MT evaluation» · page 6

Who cites «chrF: character n-gram F-score for automatic MT evaluation» · page 6

1093 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Pages: 1 · 2 · 3 · 4 · 5 · 6 · 7 · 8 · 9 · 10 · 11

  1. The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages — our card · 2023 · arXiv:2304.09919
  2. Tokengram_F, a Fast and Accurate Token-based chrF++ Derivative — 2023 · Proceedings of the Eighth Conference on Machine Translation
  3. Tokenization and the Noiseless Channel — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  4. Towards Example-Based NMT with Multi-Levenshtein Transformers — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  5. Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Language — 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)
  6. Towards Making the Most of ChatGPT for Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  7. Toxicity in Multilingual Machine Translation at Scale — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  8. Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level — 2023 · Proceedings of the Eighth Conference on Machine Translation
  9. Unsupervised Feature Selection for Effective Parallel Corpus Filtering — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
  10. Using Large Language Models for Zero-Shot Natural Language Generation from Knowledge Graphs — 2023 · Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)
  11. What changes when you randomly choose BPE merge operations? Not much. — 2023 · Proceedings of the Fourth Workshop on Insights from Negative Results in NLP
  12. XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  13. eBLEU: Unexpectedly Good Machine Translation Evaluation Using Simple Word Embeddings — 2023 · Proceedings of the Eighth Conference on Machine Translation
  14. f-Divergence Minimization for Sequence-Level Knowledge Distillation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  15. 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
  16. A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  17. A Parallel Corpus and Dictionary for Amis-Mandarin Translation — 2022 · Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities
  18. A Quality Estimation and Quality Evaluation Tool for the Translation Industry — 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
  19. A Study on Manual and Automatic Evaluation for Text Style Transfer: The Case of Detoxification — 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)
  20. A large-scale computational study of content preservation measures for text style transfer and paraphrase generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
  21. Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  22. Adam Mickiewicz University at WMT 2022: NER-Assisted and Quality-Aware Neural Machine Translation — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  23. All You Need is Source! A Study on Source-based Quality Estimation for Neural Machine Translation — 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)
  24. AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  25. An Automatic Evaluation of the WMT22 General Machine Translation Task — 2022 · arXiv:2209.14172
  26. Approaching English-Polish Machine Translation Quality Assessment with Neural-based Methods — 2022 · arXiv:2209.11016 · Proceedings of the PolEval 2021 Workshop, 2021, 73-78
  27. Automated Evaluation Metric for Terminology Consistency in MT — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  28. Automatic Normalisation of Early Modern French — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  29. BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  30. BPE beyond Word Boundary: How NOT to use Multi Word Expressions in Neural Machine Translation — 2022 · Proceedings of the Third Workshop on Insights from Negative Results in NLP
  31. BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  32. Benchmarking Azerbaijani Neural Machine Translation — 2022 · arXiv:2207.14473
  33. Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  34. BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  35. Byte-based Multilingual NMT for Endangered Languages — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  36. COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  37. Can We Use Word Embeddings for Enhancing Guarani-Spanish Machine Translation? — 2022 · Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages
  38. Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  39. DEEP: DEnoising Entity Pre-training for Neural Machine Translation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  40. DEMETR: Diagnosing Evaluation Metrics for Translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  41. DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  42. Deep Learning for Text Style Transfer: A Survey — 2022 · Computational Linguistics
  43. Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  44. DialSummEval: Revisiting Summarization Evaluation for Dialogues — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  45. Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  46. Disentangling Uncertainty in Machine Translation Evaluation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  47. DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  48. ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages — 2022 · arXiv:2212.06742
  49. Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric into a Document-Level Metric — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  50. Enabling arbitrary translation objectives with Adaptive Tree Search — 2022 · arXiv:2202.11444
  51. Evaluating Machine Translation in Cross-lingual E-Commerce Search — 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
  52. Evaluating Pre-training Objectives for Low-Resource Translation into Morphologically Rich Languages — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  53. Exploring Robustness of Machine Translation Metrics: A Study of Twenty-Two Automatic Metrics in the WMT22 Metric Task — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  54. Exploring diversity in back translation for low-resource machine translation — 2022 · Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing
  55. Few-shot fine-tuning SOTA summarization models for medical dialogues — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop
  56. Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  57. Findings of the 2022 Conference on Machine Translation (WMT22) — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  58. Findings of the First WMT Shared Task on Sign Language Translation (WMT-SLT22) — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  59. Findings of the IWSLT 2022 Evaluation Campaign — 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)
  60. Findings of the WMT 2022 Shared Task on Chat Translation — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  61. From COMET to COMES – Can Summary Evaluation Benefit from Translation Evaluation? — 2022 · Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems
  62. Graph-to-Text Generation with Dynamic Structure Pruning — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  63. HW-TSC Translation Systems for the WMT22 Biomedical Translation Task — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  64. HW-TSC's Submissions to the WMT 2022 General Machine Translation Shared Task — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  65. High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics — 2022 · Transactions of the Association for Computational Linguistics
  66. How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training? — 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
  67. Human Evaluation and Correlation with Automatic Metrics in Consultation Note Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  68. Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfer — 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)
  69. Human evaluation of web-crawled parallel corpora for machine translation — 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)
  70. Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  71. Improving Both Domain Robustness and Domain Adaptability in Machine Translation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  72. Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  73. Investigating Failures of Automatic Translation in the Case of Unambiguous Gender — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  74. Jojajovai: A Parallel Guarani-Spanish Corpus for MT Benchmarking — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  75. Knowledge Distillation for Sustainable Neural Machine Translation — 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)
  76. Local Structure Matters Most: Perturbation Study in NLU — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  77. MS-COMET: More and Better Human Judgements Improve Metric Performance — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  78. MaTESe: Machine Translation Evaluation as a Sequence Tagging Problem — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  79. Machine Translation Between High-resource Languages in a Language Documentation Setting — 2022 · Proceedings of the First Workshop on NLP applications to field linguistics
  80. Models In a Spelling Bee: Language Models Implicitly Learn the Character Composition of Tokens — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  81. Multi-Granularity Optimization for Non-Autoregressive Translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  82. Multilingual Machine Translation with Hyper-Adapters — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  83. NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  84. Non-Autoregressive Machine Translation: It''s Not as Fast as it Seems — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  85. Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  86. Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  87. On the Interaction of Regularization Factors in Low-resource Neural Machine Translation — 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
  88. Part Represents Whole: Improving the Evaluation of Machine Translation System Using Entropy Enhanced Metrics — 2022 · Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022
  89. Practical Attacks on Machine Translation using Paraphrase — 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
  90. Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation? — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  91. PreQuEL: Quality Estimation of Machine Translation Outputs in Advance — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  92. Quality Estimation via Backtranslation at the WMT 2022 Quality Estimation Task — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  93. Quality-Aware Decoding for Neural Machine Translation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  94. Quantifying Synthesis and Fusion and their Impact on Machine Translation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  95. Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust — our card · 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  96. Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation — 2022 · arXiv:2212.07981
  97. Rewarding Semantic Similarity under Optimized Alignments for AMR-to-Text Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  98. Robust MT Evaluation with Sentence-level Multilingual Augmentation — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  99. Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  100. Searching for COMETINHO: The Little Metric That Could — 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation

Pages: 1 · 2 · 3 · 4 · 5 · 6 · 7 · 8 · 9 · 10 · 11

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-6/