Mova0.5 pre-release⌕
☰
home / docs / papers / cited-by / Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 3

Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 3

1514 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 · 12 · 13 · 14 · 15 · 16

  1. Machine translation of Korean statutes examined from the perspective of quality and productivity — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track
  2. Neural Machine Translation Methods for Translating Text to Sign Language Glosses — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  3. On Search Strategies for Document-Level Neural Machine Translation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  4. On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  5. PE effort and neural-based automatic MT metrics: do they correlate? — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
  6. Perturbation-based QE: An Explainable, Unsupervised Word-level Quality Estimation Method for Blackbox Machine Translation — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  7. Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  8. Poor Man''s Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  9. PromptST: Abstract Prompt Learning for End-to-End Speech Translation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  10. Quality Estimation-Assisted Automatic Post-Editing — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  11. Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  12. Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  13. Rethinking Round-Trip Translation for Machine Translation Evaluation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  14. Rethinking the Word-level Quality Estimation for Machine Translation from Human Judgement — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  15. SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  16. Songs Across Borders: Singable and Controllable Neural Lyric Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  17. TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties — 2023 · Proceedings of ArabicNLP 2023
  18. Tailoring Domain Adaptation for Machine Translation Quality Estimation — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
  19. Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  20. Tokengram_F, a Fast and Accurate Token-based chrF++ Derivative — 2023 · Proceedings of the Eighth Conference on Machine Translation
  21. Toward Human-Like Evaluation for Natural Language Generation with Error Analysis — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  22. Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level — 2023 · Proceedings of the Eighth Conference on Machine Translation
  23. Unsupervised Translation Quality Estimation Exploiting Synthetic Data and Pre-trained Multilingual Encoder — 2023 · arXiv:2311.05117
  24. 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)
  25. VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  26. VisText: A Benchmark for Semantically Rich Chart Captioning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  27. 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)
  28. (Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification — 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
  29. 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
  30. A Template-based Method for Constrained Neural Machine Translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  31. 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
  32. An Overview on Machine Translation Evaluation — 2022 · arXiv:2202.11027
  33. Approaching English-Polish Machine Translation Quality Assessment with Neural-based Methods — 2022 · arXiv:2209.11016 · Proceedings of the PolEval 2021 Workshop, 2021, 73-78
  34. 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
  35. BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  36. BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  37. CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  38. ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  39. DEMETR: Diagnosing Evaluation Metrics for Translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  40. DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  41. Domain Adaptation in Neural Machine Translation using a Qualia-Enriched FrameNet — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  42. Domain-Specific Text Generation for Machine Translation — 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
  43. EdiT5: Semi-Autoregressive Text Editing with T5 Warm-Start — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  44. 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)
  45. Evaluating Subtitle Segmentation for End-to-end Generation Systems — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  46. Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  47. Findings of the WMT 2022 Shared Task on Automatic Post-Editing — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  48. Findings of the WMT 2022 Shared Task on Quality Estimation — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  49. Generation of Patient After-Visit Summaries to Support Physicians — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  50. HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  51. HilMeMe: A Human-in-the-Loop Machine Translation Evaluation Metric Looking into Multi-Word Expressions — 2022 · arXiv:2211.05201
  52. IIT Bombay's WMT22 Automatic Post-Editing Shared Task Submission — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  53. Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence Transformers — 2022 · Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural Language Processing (DLG4NLP 2022)
  54. Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  55. Is Encoder-Decoder Redundant for Neural Machine Translation? — 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)
  56. 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)
  57. Linguistically-Motivated Yorùbá-English Machine Translation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  58. Literary translation as a three-stage process: machine translation, post-editing and revision — 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
  59. MS-COMET: More and Better Human Judgements Improve Metric Performance — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  60. MSCTD: A Multimodal Sentiment Chat Translation Dataset — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  61. MaTESe: Machine Translation Evaluation as a Sequence Tagging Problem — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  62. Mismatching-Aware Unsupervised Translation Quality Estimation For Low-Resource Languages — 2022 · arXiv:2208.00463
  63. Multi-Granularity Optimization for Non-Autoregressive Translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  64. Multilingual Abstract Meaning Representation for Celtic Languages — 2022 · Proceedings of the 4th Celtic Language Technology Workshop within LREC2022
  65. NJUNLP's Participation for the WMT2022 Quality Estimation Shared Task — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  66. NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  67. Non-Autoregressive Neural Machine Translation: A Call for Clarity — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  68. Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  69. Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning — 2022 · arXiv:2202.00535
  70. On Assessing and Developing Spoken `Grammatical Error Correction' Systems — 2022 · Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022)
  71. Original or Translated? On the Use of Parallel Data for Translation Quality Estimation — 2022 · arXiv:2212.10257
  72. 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
  73. Passing Parser Uncertainty to the Transformer: Labeled Dependency Distributions for Neural Machine Translation — 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
  74. PreQuEL: Quality Estimation of Machine Translation Outputs in Advance — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  75. Pretrained Speech Encoders and Efficient Fine-tuning Methods for Speech Translation: UPC at IWSLT 2022 — 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)
  76. QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  77. R2D2: Robust Data-to-Text with Replacement Detection — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  78. Rethink about the Word-level Quality Estimation for Machine Translation from Human Judgement — 2022 · arXiv:2209.05695
  79. Revision for Concision: A Constrained Paraphrase Generation Task — 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
  80. Robust MT Evaluation with Sentence-level Multilingual Augmentation — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  81. Scheduled Multi-task Learning for Neural Chat Translation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  82. Self-supervised Graph Masking Pre-training for Graph-to-Text Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  83. Semantic Similarity Based Filtering for Turkish Paraphrase Dataset Creation — 2022 · Proceedings of the 5th International Conference on Natural Language and Speech Processing (ICNLSP 2022)
  84. SubER - A Metric for Automatic Evaluation of Subtitle Quality — 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)
  85. The Ecological Footprint of Neural Machine Translation Systems — 2022 · arXiv:2202.02170
  86. The HW-TSC's Speech to Speech Translation System for IWSLT 2022 Evaluation — 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)
  87. Towards Making the Most of Pre-trained Translation Model for Quality Estimation — 2022 · Proceedings of the 21st Chinese National Conference on Computational Linguistics
  88. Translating Spanish into Spanish Sign Language: Combining Rules and Data-driven Approaches — 2022 · Proceedings of the Fifth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2022)
  89. Translation Error Detection as Rationale Extraction — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  90. Understanding Metrics for Paraphrasing — 2022 · arXiv:2205.13119
  91. UniTE: Unified Translation Evaluation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  92. Using Pre-Trained Language Models for Producing Counter Narratives Against Hate Speech: a Comparative Study — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  93. Varifocal Question Generation for Fact-checking — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  94. WeTS: A Benchmark for Translation Suggestion — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  95. What Makes Data-to-Text Generation Hard for Pretrained Language Models? — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  96. Who Are We Talking About? Handling Person Names in Speech Translation — 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)
  97. gaHealth: An English–Irish Bilingual Corpus of Health Data — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  98. A Tutorial on Evaluation Metrics used in Natural Language Generation — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Tutorials
  99. Adaptation of Back-translation to Automatic Post-Editing for Synthetic Data Generation — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  100. Adapting Neural Machine Translation for Automatic Post-Editing — 2021 · Proceedings of the Sixth Conference on Machine Translation

Pages: 1 · 2 · 3 · 4 · 5 · 6 · 7 · 8 · 9 · 10 · 11 · 12 · 13 · 14 · 15 · 16

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-3/