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Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 7

1514 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

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  1. Start-Before-End and End-to-End: Neural Speech Translation by AppTek and RWTH Aachen University — 2020 · Proceedings of the 17th International Conference on Spoken Language Translation
  2. TMUOU Submission for WMT20 Quality Estimation Shared Task — 2020 · Proceedings of the Fifth Conference on Machine Translation
  3. Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  4. Text-to-Text Pre-Training Model with Plan Selection for RDF-to-Text Generation — 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)
  5. The 2020 Bilingual, Bi-Directional WebNLG+ Shared Task: Overview and Evaluation Results (WebNLG+ 2020) — 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)
  6. The IPN-CIC team system submission for the WMT 2020 similar language task — 2020 · Proceedings of the Fifth Conference on Machine Translation
  7. The NITS-CNLP System for the Unsupervised MT Task at WMT 2020 — 2020 · Proceedings of the Fifth Conference on Machine Translation
  8. The Transference Architecture for Automatic Post-Editing — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  9. The UET-ICTU Submissions to the VLSP 2020 News Translation Task — 2020 · Proceedings of the 7th International Workshop on Vietnamese Language and Speech Processing
  10. The Unreasonable Volatility of Neural Machine Translation Models — 2020 · Proceedings of the Fourth Workshop on Neural Generation and Translation
  11. Touch Editing: A Flexible One-Time Interaction Approach for Translation — 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing
  12. Towards Machine Translation for the Kurdish Language — 2020 · Proceedings of the 3rd Workshop on Technologies for MT of Low Resource Languages
  13. Towards a Better Evaluation of Metrics for Machine Translation — 2020 · Proceedings of the Fifth Conference on Machine Translation
  14. Train Hard, Finetune Easy: Multilingual Denoising for RDF-to-Text Generation — 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)
  15. Transfer Learning for Related Languages: Submissions to the WMT20 Similar Language Translation Task — 2020 · Proceedings of the Fifth Conference on Machine Translation
  16. Transformer-based Neural Machine Translation System for Hindi – Marathi: WMT20 Shared Task — 2020 · Proceedings of the Fifth Conference on Machine Translation
  17. Unbabel's Participation in the WMT20 Metrics Shared Task — 2020 · Proceedings of the Fifth Conference on Machine Translation
  18. Unsupervised Paraphrasing via Deep Reinforcement Learning — 2020 · arXiv:2007.02244
  19. Using Context in Neural Machine Translation Training Objectives — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  20. WebNLG 2020 Challenge: Semantic Template Mining for Generating References from RDF — 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)
  21. What's the Difference Between Professional Human and Machine Translation? A Blind Multi-language Study on Domain-specific MT — 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation
  22. Zero-Shot Translation Quality Estimation with Explicit Cross-Lingual Patterns — 2020 · Proceedings of the Fifth Conference on Machine Translation
  23. A Comparison on Fine-grained Pre-trained Embeddings for the WMT19Chinese-English News Translation Task — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
  24. A Paraphrase Generation System for EHR Question Answering — 2019 · Proceedings of the 18th BioNLP Workshop and Shared Task
  25. A Partially Rule-Based Approach to AMR Generation — our card · 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop
  26. A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  27. A Survey on Document-level Neural Machine Translation: Methods and Evaluation — 2019 · arXiv:1912.08494
  28. An End-to-End Generative Architecture for Paraphrase Generation — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  29. Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors — 2019 · arXiv:1904.10997
  30. Auto-Encoding Variational Neural Machine Translation — 2019 · Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)
  31. Automatic Translation for Software with Safe Velocity — 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks
  32. Automatic error classification with multiple error labels — 2019 · Proceedings of Machine Translation Summit XVII: Research Track
  33. Automatically Extracting Challenge Sets for Non-Local Phenomena in Neural Machine Translation — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  34. BERTScore: Evaluating Text Generation with BERT — 2019 · arXiv:1904.09675
  35. Back-Translation as Strategy to Tackle the Lack of Corpus in Natural Language Generation from Semantic Representations — 2019 · Proceedings of the 2nd Workshop on Multilingual Surface Realisation (MSR 2019)
  36. Best practices for the human evaluation of automatically generated text — 2019 · Proceedings of the 12th International Conference on Natural Language Generation
  37. Building English-to-Serbian Machine Translation System for IMDb Movie Reviews — 2019 · Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing
  38. Combining PBSMT and NMT Back-translated Data for Efficient NMT — 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
  39. Comparing a Hand-crafted to an Automatically Generated Feature Set for Deep Learning: Pairwise Translation Evaluation — 2019 · Proceedings of the Human-Informed Translation and Interpreting Technology Workshop (HiT-IT 2019)
  40. Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification — 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)
  41. Designing a Frame-Semantic Machine Translation Evaluation Metric — 2019 · Proceedings of the Human-Informed Translation and Interpreting Technology Workshop (HiT-IT 2019)
  42. Do translator trainees trust machine translation? An experiment on post-editing and revision — 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks
  43. Does NMT make a difference when post-editing closely related languages? The case of Spanish-Catalan — 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks
  44. EED: Extended Edit Distance Measure for Machine Translation — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
  45. Edit distances do not describe editing, but they can be useful for translation process research — 2019 · Proceedings of the Second MEMENTO workshop on Modelling Parameters of Cognitive Effort in Translation Production
  46. Effort-Aware Neural Automatic Post-Editing — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
  47. Empirical Evaluation of Active Learning Techniques for Neural MT — 2019 · Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)
  48. Estimating post-editing effort: a study on human judgements, task-based and reference-based metrics of MT quality — 2019 · Proceedings of the 16th International Conference on Spoken Language Translation
  49. Findings of the 2019 Conference on Machine Translation (WMT19) — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
  50. Findings of the WMT 2019 Shared Task on Automatic Post-Editing — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
  51. Human Evaluation of Neural Machine Translation: The Case of Deep Learning — 2019 · Proceedings of the Human-Informed Translation and Interpreting Technology Workshop (HiT-IT 2019)
  52. IITP-MT System for Gujarati-English News Translation Task at WMT 2019 — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
  53. Improving Robustness in Real-World Neural Machine Translation Engines — 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks
  54. Improving Translations by Combining Fuzzy-Match Repair with Automatic Post-Editing — 2019 · Proceedings of Machine Translation Summit XVII: Research Track
  55. Incremental Adaptation of NMT for Professional Post-editors: A User Study — 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks
  56. Insertion-based Decoding with Automatically Inferred Generation Order — 2019 · Transactions of the Association for Computational Linguistics
  57. JU-Saarland Submission to the WMT2019 English–Gujarati Translation Shared Task — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
  58. Large-scale Machine Translation Evaluation of the iADAATPA Project — 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks
  59. Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models — our card · 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks
  60. Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation — 2019 · Proceedings of Machine Translation Summit XVII: Research Track
  61. Machine Translation Evaluation using Bi-directional Entailment — 2019 · arXiv:1911.00681
  62. Measuring Immediate Adaptation Performance for Neural Machine Translation — 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)
  63. Meteor++ 2.0: Adopt Syntactic Level Paraphrase Knowledge into Machine Translation Evaluation — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
  64. NJU Submissions for the WMT19 Quality Estimation Shared Task — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
  65. Naive Regularizers for Low-Resource Neural Machine Translation — 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
  66. Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  67. On Using SpecAugment for End-to-End Speech Translation — 2019 · Proceedings of the 16th International Conference on Spoken Language Translation
  68. Panlingua-KMI MT System for Similar Language Translation Task at WMT 2019 — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
  69. PaperRobot: Incremental Draft Generation of Scientific Ideas — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  70. Phonetically-Oriented Word Error Alignment for Speech Recognition Error Analysis in Speech Translation — 2019 · arXiv:1904.11024
  71. Polly Want a Cracker: Analyzing Performance of Parroting on Paraphrase Generation Datasets — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  72. Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain — 2019 · Proceedings of Machine Translation Summit XVII: Research Track
  73. Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  74. Quality Estimation and Translation Metrics via Pre-trained Word and Sentence Embeddings — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
  75. Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big Challenges — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
  76. Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  77. Revisit Automatic Error Detection for Wrong and Missing Translation – A Supervised Approach — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  78. Revisiting Paraphrase Question Generator using Pairwise Discriminator — 2019 · arXiv:1912.13149
  79. SAO WMT19 Test Suite: Machine Translation of Audit Reports — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
  80. SOURCE: SOURce-Conditional Elmo-style Model for Machine Translation Quality Estimation — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
  81. Selecting Artificially-Generated Sentences for Fine-Tuning Neural Machine Translation — 2019 · Proceedings of the 12th International Conference on Natural Language Generation
  82. Self-Regulated Interactive Sequence-to-Sequence Learning — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  83. Semantic Neural Machine Translation Using AMR — our card · 2019 · Transactions of the Association for Computational Linguistics
  84. Taking MT Evaluation Metrics to Extremes: Beyond Correlation with Human Judgments — 2019 · Computational Linguistics
  85. Teaching FORGe to Verbalize DBpedia Properties in Spanish — 2019 · Proceedings of the 12th International Conference on Natural Language Generation
  86. The Challenges of Using Neural Machine Translation for Literature — 2019 · Proceedings of the Qualities of Literary Machine Translation
  87. The IWSLT 2019 Evaluation Campaign — 2019 · Proceedings of the 16th International Conference on Spoken Language Translation
  88. Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation — 2019 · Proceedings of the 8th Workshop on Patent and Scientific Literature Translation
  89. Translator2Vec: Understanding and Representing Human Post-Editors — 2019 · Proceedings of Machine Translation Summit XVII: Research Track
  90. Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence — 2019 · arXiv:1906.01965
  91. UDS–DFKI Submission to the WMT2019 Czech–Polish Similar Language Translation Shared Task — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
  92. USAAR-DFKI – The Transference Architecture for English–German Automatic Post-Editing — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
  93. VizSeq: a visual analysis toolkit for text generation tasks — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations
  94. When less is more in Neural Quality Estimation of Machine Translation. An industry case study — 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks
  95. A Comparison of Different Punctuation Prediction Approaches in a Translation Context — 2018 · Proceedings of the 21st Annual Conference of the European Association for Machine Translation
  96. A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  97. A Machine Translation Approach for Modernizing Historical Documents Using Backtranslation — 2018 · Proceedings of the 15th International Conference on Spoken Language Translation
  98. A Method for Human-Interpretable Paraphrasticality Prediction — 2018 · Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
  99. A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing Systems — 2018 · Proceedings of the 2nd Workshop on Neural Machine Translation and Generation
  100. A Stable and Effective Learning Strategy for Trainable Greedy Decoding — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

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