[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-5/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 5

# Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 5

1514 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/snover-2006-study-translation-edit-rate-targeted/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-4/) · **5** · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-10/) · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-11/) · [12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-12/) · [13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-13/) · [14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-14/) · [15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-15/) · [16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-16/)

1. [Effective Estimation of Deep Generative Language Models](https://aclanthology.org/2020.acl-main.646/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
2. [English to Manipuri and Mizo Post-Editing Effort and its Impact on Low Resource Machine Translation](https://aclanthology.org/2020.icon-main.7/) *— 2020 · Proceedings of the 17th International Conference on Natural Language Processing (ICON)*
3. [Estimation vs Metrics: is QE Useful for MT Model Selection?](https://aclanthology.org/2020.eamt-1.36/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
4. [Evaluating Robustness to Input Perturbations for Neural Machine Translation](https://aclanthology.org/2020.acl-main.755/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
5. [Evaluating the usefulness of neural machine translation for the Polish translators in the European Commission](https://aclanthology.org/2020.eamt-1.28/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
6. [Evaluation of Lifelong Learning Systems](https://aclanthology.org/2020.lrec-1.226/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
7. [Evaluation of Machine Translation Methods applied to Medical Terminologies](https://aclanthology.org/2020.louhi-1.7/) *— 2020 · Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis*
8. [Evaluation of Text Generation: A Survey](https://arxiv.org/abs/2006.14799) *— 2020 · arXiv:2006.14799*
9. [FELIX: Flexible Text Editing Through Tagging and Insertion](https://aclanthology.org/2020.findings-emnlp.111/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
10. [FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN](https://aclanthology.org/2020.iwslt-1.1/) *— 2020 · Proceedings of the 17th International Conference on Spoken Language Translation*
11. [Findings of the WMT 2020 Shared Task on Automatic Post-Editing](https://aclanthology.org/2020.wmt-1.75/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
12. [GRUEN for Evaluating Linguistic Quality of Generated Text](https://aclanthology.org/2020.findings-emnlp.9/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
13. [Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus](https://aclanthology.org/2020.acl-main.619/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
14. [HW-TSC's Participation at WMT 2020 Automatic Post Editing Shared Task](https://aclanthology.org/2020.wmt-1.85/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
15. [Hindi-Marathi Cross Lingual Model](https://aclanthology.org/2020.wmt-1.45/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
16. [Human-Paraphrased References Improve Neural Machine Translation](https://aclanthology.org/2020.wmt-1.140/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
17. [Incorporating Terminology Constraints in Automatic Post-Editing](https://aclanthology.org/2020.wmt-1.141/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
18. [Intermediate Self-supervised Learning for Machine Translation Quality Estimation](https://aclanthology.org/2020.coling-main.385/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
19. [Is 42 the Answer to Everything in Subtitling-oriented Speech Translation?](https://aclanthology.org/2020.iwslt-1.26/) *— 2020 · Proceedings of the 17th International Conference on Spoken Language Translation*
20. [It''s Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information](https://aclanthology.org/2020.acl-main.149/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
21. [KoBE: Knowledge-Based Machine Translation Evaluation](https://md.mova.elamur.ai/free/en/docs/papers/gekhman-2020-kobe-knowledge-based-machine-translation/) *— our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
22. [Latin-Spanish Neural Machine Translation: from the Bible to Saint Augustine](https://aclanthology.org/2020.lt4hala-1.14/) *— 2020 · Proceedings of LT4HALA 2020 - 1st Workshop on Language Technologies for Historical and Ancient Languages*
23. [Literary Machine Translation under the Magnifying Glass: Assessing the Quality of an NMT-Translated Detective Novel on Document Level](https://aclanthology.org/2020.lrec-1.468/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
24. [Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine Translation](https://aclanthology.org/2020.emnlp-main.481/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
25. [MT for subtitling: User evaluation of post-editing productivity](https://aclanthology.org/2020.eamt-1.13/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
26. [Machine Translation Aided Bilingual Data-to-Text Generation and Semantic Parsing](https://aclanthology.org/2020.webnlg-1.13/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
27. [Machine Translation System Selection from Bandit Feedback](https://aclanthology.org/2020.amta-research.5/) *— 2020 · Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
28. [Multi-Hypothesis Machine Translation Evaluation](https://aclanthology.org/2020.acl-main.113/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
29. [NILC at WebNLG+: Pretrained Sequence-to-Sequence Models on RDF-to-Text Generation](https://aclanthology.org/2020.webnlg-1.14/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
30. [NRC Systems for Low Resource German-Upper Sorbian Machine Translation 2020: Transfer Learning with Lexical Modifications](https://aclanthology.org/2020.wmt-1.132/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
31. [NUIG-DSI at the WebNLG+ challenge: Leveraging Transfer Learning for RDF-to-text generation](https://aclanthology.org/2020.webnlg-1.15/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
32. [Neural Simultaneous Speech Translation Using Alignment-Based Chunking](https://aclanthology.org/2020.iwslt-1.29/) *— 2020 · Proceedings of the 17th International Conference on Spoken Language Translation*
33. [Noising Scheme for Data Augmentation in Automatic Post-Editing](https://aclanthology.org/2020.wmt-1.83/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
34. [On Knowledge Distillation for Direct Speech Translation](https://aclanthology.org/2020.clicit-1.25/) *— 2020 · Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020)*
35. [On Target Segmentation for Direct Speech Translation](https://aclanthology.org/2020.amta-research.13/) *— 2020 · Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
36. [On The Evaluation of Machine Translation Systems Trained With Back-Translation](https://aclanthology.org/2020.acl-main.253/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
37. [On the Inference Calibration of Neural Machine Translation](https://aclanthology.org/2020.acl-main.278/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
38. [Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English](https://aclanthology.org/2020.coling-main.443/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
39. [Overview of the 7th Workshop on Asian Translation](https://aclanthology.org/2020.wat-1.1/) *— 2020 · Proceedings of the 7th Workshop on Asian Translation*
40. [Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages](https://aclanthology.org/2020.findings-emnlp.195/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
41. [Quantitative Analysis of Post-Editing Effort Indicators for NMT](https://aclanthology.org/2020.eamt-1.44/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
42. [RTM Ensemble Learning Results at Quality Estimation Task](https://aclanthology.org/2020.wmt-1.114/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
43. [Results of the WMT20 Metrics Shared Task](https://aclanthology.org/2020.wmt-1.77/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
44. [Revisiting Round-trip Translation for Quality Estimation](https://aclanthology.org/2020.eamt-1.11/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
45. [SEMA: Text Simplification Evaluation through Semantic Alignment](https://aclanthology.org/2020.nlptea-1.17/) *— 2020 · Proceedings of the 6th Workshop on Natural Language Processing Techniques for Educational Applications*
46. [SIMULEVAL: An Evaluation Toolkit for Simultaneous Translation](https://aclanthology.org/2020.emnlp-demos.19/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
47. [Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation](https://aclanthology.org/2020.acl-main.359/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
48. [Start-Before-End and End-to-End: Neural Speech Translation by AppTek and RWTH Aachen University](https://aclanthology.org/2020.iwslt-1.3/) *— 2020 · Proceedings of the 17th International Conference on Spoken Language Translation*
49. [TMUOU Submission for WMT20 Quality Estimation Shared Task](https://aclanthology.org/2020.wmt-1.120/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
50. [Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics](https://md.mova.elamur.ai/free/en/docs/papers/mathur-2020-tangled-up-bleu-reevaluating-evaluation/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
51. [Text-to-Text Pre-Training Model with Plan Selection for RDF-to-Text Generation](https://aclanthology.org/2020.webnlg-1.18/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
52. [The 2020 Bilingual, Bi-Directional WebNLG+ Shared Task: Overview and Evaluation Results (WebNLG+ 2020)](https://aclanthology.org/2020.webnlg-1.7/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
53. [The Transference Architecture for Automatic Post-Editing](https://aclanthology.org/2020.coling-main.524/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
54. [The Unreasonable Volatility of Neural Machine Translation Models](https://aclanthology.org/2020.ngt-1.10/) *— 2020 · Proceedings of the Fourth Workshop on Neural Generation and Translation*
55. [Touch Editing: A Flexible One-Time Interaction Approach for Translation](https://aclanthology.org/2020.aacl-main.1/) *— 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*
56. [Towards Machine Translation for the Kurdish Language](https://aclanthology.org/2020.loresmt-1.12/) *— 2020 · Proceedings of the 3rd Workshop on Technologies for MT of Low Resource Languages*
57. [Train Hard, Finetune Easy: Multilingual Denoising for RDF-to-Text Generation](https://aclanthology.org/2020.webnlg-1.20/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
58. [Transfer Learning for Related Languages: Submissions to the WMT20 Similar Language Translation Task](https://aclanthology.org/2020.wmt-1.46/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
59. [Unbabel's Participation in the WMT20 Metrics Shared Task](https://aclanthology.org/2020.wmt-1.101/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
60. [Unsupervised Paraphrasing via Deep Reinforcement Learning](https://arxiv.org/abs/2007.02244) *— 2020 · arXiv:2007.02244*
61. [Using Context in Neural Machine Translation Training Objectives](https://aclanthology.org/2020.acl-main.693/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
62. [WebNLG 2020 Challenge: Semantic Template Mining for Generating References from RDF](https://aclanthology.org/2020.webnlg-1.21/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
63. [What's the Difference Between Professional Human and Machine Translation? A Blind Multi-language Study on Domain-specific MT](https://aclanthology.org/2020.eamt-1.23/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
64. [Zero-Shot Translation Quality Estimation with Explicit Cross-Lingual Patterns](https://aclanthology.org/2020.wmt-1.125/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
65. [A Paraphrase Generation System for EHR Question Answering](https://aclanthology.org/W19-5003/) *— 2019 · Proceedings of the 18th BioNLP Workshop and Shared Task*
66. [A Partially Rule-Based Approach to AMR Generation](https://md.mova.elamur.ai/free/en/docs/papers/manning-2019-partially-rule-based-approach-amr/) *— our card · 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop*
67. [A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning](https://aclanthology.org/P19-1292/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
68. [A Survey on Document-level Neural Machine Translation: Methods and Evaluation](https://arxiv.org/abs/1912.08494) *— 2019 · arXiv:1912.08494*
69. [An End-to-End Generative Architecture for Paraphrase Generation](https://aclanthology.org/D19-1309/) *— 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)*
70. [Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors](https://arxiv.org/abs/1904.10997) *— 2019 · arXiv:1904.10997*
71. [Auto-Encoding Variational Neural Machine Translation](https://aclanthology.org/W19-4315/) *— 2019 · Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)*
72. [Automatic Translation for Software with Safe Velocity](https://aclanthology.org/W19-6729/) *— 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks*
73. [Automatically Extracting Challenge Sets for Non-Local Phenomena in Neural Machine Translation](https://aclanthology.org/K19-1028/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
74. [BERTScore: Evaluating Text Generation with BERT](https://arxiv.org/abs/1904.09675) *— 2019 · arXiv:1904.09675*
75. [Back-Translation as Strategy to Tackle the Lack of Corpus in Natural Language Generation from Semantic Representations](https://aclanthology.org/D19-6313/) *— 2019 · Proceedings of the 2nd Workshop on Multilingual Surface Realisation (MSR 2019)*
76. [Best practices for the human evaluation of automatically generated text](https://aclanthology.org/W19-8643/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
77. [Building English-to-Serbian Machine Translation System for IMDb Movie Reviews](https://aclanthology.org/W19-3715/) *— 2019 · Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing*
78. [Combining PBSMT and NMT Back-translated Data for Efficient NMT](https://aclanthology.org/R19-1107/) *— 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)*
79. [Comparing a Hand-crafted to an Automatically Generated Feature Set for Deep Learning: Pairwise Translation Evaluation](https://aclanthology.org/W19-8708/) *— 2019 · Proceedings of the Human-Informed Translation and Interpreting Technology Workshop (HiT-IT 2019)*
80. [Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification](https://aclanthology.org/N19-1317/) *— 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)*
81. [Designing a Frame-Semantic Machine Translation Evaluation Metric](https://aclanthology.org/W19-8704/) *— 2019 · Proceedings of the Human-Informed Translation and Interpreting Technology Workshop (HiT-IT 2019)*
82. [Does NMT make a difference when post-editing closely related languages? The case of Spanish-Catalan](https://aclanthology.org/W19-6708/) *— 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks*
83. [Empirical Evaluation of Active Learning Techniques for Neural MT](https://aclanthology.org/D19-6110/) *— 2019 · Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)*
84. [Estimating post-editing effort: a study on human judgements, task-based and reference-based metrics of MT quality](https://aclanthology.org/2019.iwslt-1.23/) *— 2019 · Proceedings of the 16th International Conference on Spoken Language Translation*
85. [Findings of the 2019 Conference on Machine Translation (WMT19)](https://aclanthology.org/W19-5301/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)*
86. [Findings of the WMT 2019 Shared Task on Automatic Post-Editing](https://aclanthology.org/W19-5402/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)*
87. [Human Evaluation of Neural Machine Translation: The Case of Deep Learning](https://aclanthology.org/W19-8705/) *— 2019 · Proceedings of the Human-Informed Translation and Interpreting Technology Workshop (HiT-IT 2019)*
88. [Incremental Adaptation of NMT for Professional Post-editors: A User Study](https://aclanthology.org/W19-6737/) *— 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks*
89. [Insertion-based Decoding with Automatically Inferred Generation Order](https://aclanthology.org/Q19-1042/) *— 2019 · Transactions of the Association for Computational Linguistics*
90. [Large-scale Machine Translation Evaluation of the iADAATPA Project](https://aclanthology.org/W19-6732/) *— 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks*
91. [Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models](https://md.mova.elamur.ai/free/en/docs/papers/torregrosa-2019-leveraging-rule-based-machine-translation/) *— our card · 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks*
92. [Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation](https://aclanthology.org/W19-6622/) *— 2019 · Proceedings of Machine Translation Summit XVII: Research Track*
93. [Machine Translation Evaluation using Bi-directional Entailment](https://arxiv.org/abs/1911.00681) *— 2019 · arXiv:1911.00681*
94. [Meteor++ 2.0: Adopt Syntactic Level Paraphrase Knowledge into Machine Translation Evaluation](https://aclanthology.org/W19-5357/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)*
95. [NJU Submissions for the WMT19 Quality Estimation Shared Task](https://aclanthology.org/W19-5409/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)*
96. [Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation](https://aclanthology.org/P19-1175/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
97. [On Using SpecAugment for End-to-End Speech Translation](https://aclanthology.org/2019.iwslt-1.22/) *— 2019 · Proceedings of the 16th International Conference on Spoken Language Translation*
98. [Panlingua-KMI MT System for Similar Language Translation Task at WMT 2019](https://aclanthology.org/W19-5429/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)*
99. [PaperRobot: Incremental Draft Generation of Scientific Ideas](https://aclanthology.org/P19-1191/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
100. [Phonetically-Oriented Word Error Alignment for Speech Recognition Error Analysis in Speech Translation](https://arxiv.org/abs/1904.11024) *— 2019 · arXiv:1904.11024*

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-4/) · **5** · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-10/) · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-11/) · [12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-12/) · [13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-13/) · [14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-14/) · [15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-15/) · [16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-16/)

- [← previous Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-4/)
- [next → Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-6/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)
