🔗 Who cites «Statistical Significance Tests for Machine Translation Evaluation»

1,049 papers of our library cite it (of the 140,884 whose bibliographies we read) · 78 with a page here, the most cited first · ← the paper

1. A Hierarchical Phrase-Based Model for Statistical Machine TranslationDavid Chiang2005 · 1,683 citations
2. Findings of the 2016 Conference on Machine TranslationOndřej Bojar, Rajen Chatterjee, Christian Federmann, et al.2016 · 936 citations
3. Clause Restructuring for Statistical Machine TranslationMichael Collins, Philipp Koehn, Ivona Kučerová2005 · 918 citations
4. BARTScore: Evaluating Generated Text as Text GenerationWeizhe Yuan, Graham Neubig, Pengfei Liu2021 · 806 citations
5. Large Language Models in Machine TranslationThorsten Brants, Ashok C. Popat, Peng Xu, et al.2007 · 701 citations
6. Findings of the 2017 Conference on Machine Translation (WMT17)Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.2017 · 685 citations
7. Improving Machine Translation Performance by Exploiting Non-Parallel CorporaDragos Stefan Munteanu, Daniel Marcu2005 · 576 citations
8. Subword Regularization: Improving Neural Network Translation Models with Multiple Subword CandidatesTaku Kudo2018 · 561 citations
9. A Simple and Effective Hierarchical Phrase Reordering ModelMichel Galley, Christopher D. Manning2008 · 472 citations
10. Findings of the 2015 Workshop on Statistical Machine TranslationOndřej Bojar, Rajen Chatterjee, Christian Federmann, et al.2015 · 461 citations
11. Manual and Automatic Evaluation of Machine Translation between European LanguagesPhilipp Koehn, Christof Monz2006 · 433 citations
12. Word Sense Disambiguation Improves Statistical Machine TranslationYee Seng Chan, Hwee Tou Ng, David Chiang2007 · 415 citations
13. Are Sixteen Heads Really Better than One?Paul Michel, Omer Levy, Graham Neubig2019 · 412 citations
14. Document-Level Neural Machine Translation with Hierarchical Attention NetworksLesly Miculicich, Dhananjay Ram, Nikolaos Pappas, et al.2018 · 411 citations
15. BPE-Dropout: Simple and Effective Subword RegularizationIvan Provilkov, Dmitrii Emelianenko, Elena Voita2020 · 389 citations
16. Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation MetricsNitika Mathur, Timothy Baldwin, Trevor Cohn2020 · 385 citations
17. Position-Aware Tagging for Aspect Sentiment Triplet ExtractionLu Xu, Hao Li, Wei Lu, et al.2020 · 370 citations
18. Arabic Preprocessing Schemes for Statistical Machine TranslationNizar Habash, Fatiha Sadat2006 · 358 citations
19. Estimating the Sentence-Level Quality of Machine Translation SystemsLucia Specia, Marco Turchi, Nicola Cancedda, et al.2009 · 351 citations
20. When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical CohesionElena Voita, Rico Sennrich, Ivan Titov2019 · 321 citations
21. Simple English Wikipedia: A New Text Simplification TaskWilliam Coster, David Kauchak2011 · 321 citations
22. Paraphrasing for Automatic EvaluationDavid Kauchak, Regina Barzilay2006 · 321 citations
23. On Some Pitfalls in Automatic Evaluation and Significance Testing for MTStefan Riezler, John T. Maxwell2005 · 318 citations
24. An Empirical Comparison of Domain Adaptation Methods for Neural Machine TranslationChenhui Chu, Raj Dabre, Sadao Kurohashi2017 · 316 citations
25. Statistical Approaches to Computer-Assisted TranslationSergio Barrachina, Oliver Bender, Francisco Casacuberta, et al.2009 · 313 citations
26. Incorporating Discrete Translation Lexicons into Neural Machine TranslationPhilip Arthur, Graham Neubig, Satoshi Nakamura2016 · 298 citations
27. BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in BanglaAbhik Bhattacharjee, Tahmid Hasan, Wasi Ahmad, et al.2022 · 296 citations
28. Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big ChallengesQingsong Ma, Johnny Wei, Ondřej Bojar, et al.2019 · 283 citations
29. Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly SupervisedStefanos Angelidis, Mirella Lapata2018 · 265 citations
30. Learning Global Features for Coreference ResolutionSam Wiseman, Alexander M. Rush, Stuart M. Shieber2016 · 264 citations
31. Automatic Machine Translation Evaluation in Many Languages via Zero-Shot ParaphrasingBrian Thompson, Matt Post2020 · 259 citations
32. Re-evaluating Evaluation in Text SummarizationManik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, et al.2020 · 256 citations
33. Tower: An Open Multilingual Large Language Model for Translation-Related TasksDuarte M. Alves, Jose Pombal, Nuno M. Guerreiro, et al.2024 · 226 citations
34. Learning to Parse and Translate Improves Neural Machine TranslationAkiko Eriguchi, Yoshimasa Tsuruoka, Kyunghyun Cho2017 · 214 citations
35. Improved Statistical Machine Translation Using Monolingually-Derived ParaphrasesYuval Marton, Chris Callison-Burch, Philip Resnik2009 · 213 citations
36. Learning Anaphoricity and Antecedent Ranking Features for Coreference ResolutionSam Wiseman, Alexander M. Rush, Stuart Shieber, et al.2015 · 209 citations
37. Re-evaluating Automatic Summarization with BLEU and 192 Shades of ROUGEYvette Graham2015 · 208 citations
38. Findings of the 2012 Workshop on Statistical Machine TranslationChris Callison-Burch, Philipp Koehn, Christof Monz, et al.2012 · 203 citations
39. IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian LanguagesJay Gala, Pranjal A. Chitale, Raghavan AK, et al.2023 · 200 citations
40. Learning to Simplify Sentences Using WikipediaWill Coster, David Kauchak2011 · 196 citations
41. Results of the WMT20 Metrics Shared TaskNitika Mathur, Johnny Wei, Markus Freitag, et al.2020 · 195 citations
42. Findings of the 2021 Conference on Machine Translation (WMT21)Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, et al.2021 · 189 citations
43. compare-mt: A Tool for Holistic Comparison of Language Generation SystemsGraham Neubig, Zi-Yi Dou, Junjie Hu, et al.2019 · 185 citations
44. Investigating Backtranslation in Neural Machine TranslationAlberto Poncelas, Dimitar Shterionov, Andy Way, et al.2018 · 184 citations
45. Soft Syntactic Constraints for Hierarchical Phrased-Based TranslationYuval Marton, Philip Resnik2008 · 183 citations
46. Findings of the IWSLT 2022 Evaluation CampaignAntonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, et al.2022 · 177 citations
47. Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performanceQingsong Ma, Ondřej Bojar, Yvette Graham2018 · 164 citations
48. Semantic Neural Machine Translation Using AMRLinfeng Song, Daniel Gildea, Yue Zhang, et al.2019 · 159 citations
49. Accurate Evaluation of Segment-level Machine Translation MetricsYvette Graham, Timothy Baldwin, Nitika Mathur2015 · 155 citations
50. On The Evaluation of Machine Translation Systems Trained With Back-TranslationSergey Edunov, Myle Ott, Marc'Aurelio Ranzato, et al.2020 · 139 citations
51. Trivial Transfer Learning for Low-Resource Neural Machine TranslationTom Kocmi, Ondřej Bojar2018 · 139 citations
52. Lost in Translation: Loss and Decay of Linguistic Richness in Machine TranslationEva Vanmassenhove, Dimitar Shterionov, Andy Way2019 · 137 citations
53. Chameleons in Imagined Conversations: A New Approach to Understanding Coordination of Linguistic Style in DialogsCristian Danescu-Niculescu-Mizil, Lillian Lee2011 · 110 citations
54. Findings of the WMT 2019 Shared Task on Automatic Post-EditingRajen Chatterjee, Christian Federmann, Matteo Negri, et al.2019 · 102 citations
55. Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention ClusteringRui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, et al.2018 · 83 citations
56. Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MTKathryn Baker, Michael Bloodgood, Bonnie J. Dorr, et al.2012 · 77 citations
57. CUNI Transformer Neural MT System for WMT18Martin Popel2018 · 61 citations
58. Inferring Shallow-Transfer Machine Translation Rules from Small Parallel CorporaFelipe Sanchez-Martinez, Mikel L. Forcada2009 · 38 citations
59. DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion ModelsShansan Gong, Mukai Li, Jiangtao Feng, et al.2023 · 32 citations
60. Incorporating Information Status into Generation RankingAoife Cahill, Arndt Riester2009 · 32 citations
61. Flexible finite-state lexical selection for rule-based machine translationFrancis M. Tyers, Felipe Sánchez-Martínez, Mikel L. Forcada2012 · 31 citations
62. Unsupervised Morphology Rivals Supervised Morphology for Arabic MTDavid Stallard, Jacob Devlin, Michael Kayser, et al.2012 · 30 citations
63. Formemes in English-Czech Deep Syntactic MTOndřej Dušek, Zdeněk Žabokrtský, Martin Popel, et al.2012 · 28 citations
64. Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation ModelsDaniel Torregrosa, Nivranshu Pasricha, Maraim Masoud, et al.2019 · 20 citations
65. Spelling Normalization of Historical Documents by Using a Machine Translation ApproachMiguel Domingo, Francisco Casacuberta2018 · 20 citations
66. Hebrew Morphological Preprocessing for Statistical Machine TranslationNimesh Singh, Nizar Habash2012 · 15 citations
67. GrammaMT: Improving Machine Translation with Grammar-Informed In-Context LearningRita Ramos, Everlyn Asiko Chimoto, Maartje Ter Hoeve, et al.2025 · 11 citations
68. CQE: A Comprehensive Quantity ExtractorSatya Almasian, Vivian Kazakova, Philipp Göldner, et al.2023 · 9 citations
69. LLM Dependency Parsing with In-Context RulesMichael Ginn, Alexis Palmer2025 · 5 citations
70. Predicting and Using a Pragmatic Component of Lexical Aspect of Simple Past Verbal Tenses for Improving English-to-French Machine TranslationSharid Loáiciga, Cristina Grisot2016 · 5 citations
71. Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?Aishwarya Ramasethu, Rohin Garg, Niyathi Allu, et al.2026 · 1 citation
72. Multilingual Communication in the Asylum Context: Evaluating LLM-Based Machine Translation with Fuzzy Match Augmentation and Adaptive NMT across Resource Conditions under Low-Data ConstraintsThomas Moerman, Arda Tezcan, Lieve Macken2026 · 1 citation
73. Bringing Mapudungun into the Modern MT Ecosystem: Morphology-Aware Tokenization for NLLB-200 Fine-TuningIsaac Thompson, Brandon Rogers, Eric Ringger2026
74. Corpora Generation for Urdu Grammatical Error CorrectionSyed Ahad, Burhanuddin Aliasghar Ezzi, Muhammad Arsalan Hussain, et al.2026
75. Diagnosing Translated Benchmarks: An Automated Quality Assurance Study of the EU20 Benchmark SuiteKlaudia Thellmann, Bernhard Stadler, Michael Färber2026
76. LV-ROVER-MLT: Low-Resource Maltese OCR by Synthetic Fine-Tuning and Multi-Stream ArbitrationAdam Darmanin2026
77. Terminology-Aware Retrieval-Augmented Knowledge Distillation for Biomedical Neural Machine TranslationMaria Zafar, Souhail Bakkali, Rejwanul Haque2026
78. When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated ContentLydia Nishimwe, Benoît Sagot, Rachel Bawden2026

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