---
title: "Who cites Optimizing Statistical Machine Translation for…"
description: "The papers of the Elamur Research library that cite «Optimizing Statistical Machine Translation for Text Simplification», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/cited-by/page/3/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/cited-by/page/3/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Optimizing Statistical Machine Translation for…](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/) / cited by

# Who cites «Optimizing Statistical Machine Translation for Text Simplification» · page 3

431 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/cited-by/) · [2](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/cited-by/page/2/) · **3** · [4](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/cited-by/page/4/) · [5](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/cited-by/page/5/)

1. [Exploring Variation of Results from Different Experimental Conditions](https://aclanthology.org/2023.findings-acl.172/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
2. [Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language Models](https://aclanthology.org/2023.gem-1.18/) *— 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
3. [G-SPEED: General SParse Efficient Editing MoDel](https://aclanthology.org/2023.findings-emnlp.142/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
4. [Gauging the Gap Between Human and Machine Text Simplification Through Analytical Evaluation of Simplification Strategies and Errors](https://aclanthology.org/2023.findings-eacl.27/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
5. [LENS: A Learnable Evaluation Metric for Text Simplification](https://aclanthology.org/2023.acl-long.905/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
6. [Learning to Paraphrase Sentences to Different Complexity Levels](https://aclanthology.org/2023.tacl-1.76/) *— 2023 · Transactions of the Association for Computational Linguistics*
7. [Leveraging Prefix Transfer for Multi-Intent Text Revision](https://aclanthology.org/2023.acl-short.105/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
8. [MVP: Multi-task Supervised Pre-training for Natural Language Generation](https://aclanthology.org/2023.findings-acl.558/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
9. [Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts](https://arxiv.org/abs/2302.09155) *— 2023 · arXiv:2302.09155*
10. [Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search Decoding](https://aclanthology.org/2023.findings-emnlp.322/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
11. [Metric-Based In-context Learning: A Case Study in Text Simplification](https://aclanthology.org/2023.inlg-main.18/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
12. [MuLER: Detailed and Scalable Reference-based Evaluation](https://aclanthology.org/2023.conll-1.29/) *— 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)*
13. [Multilingual Simplification of Medical Texts](https://aclanthology.org/2023.emnlp-main.1037/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
14. [NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization](https://aclanthology.org/2023.findings-eacl.80/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
15. [Non-autoregressive Text Editing with Copy-aware Latent Alignments](https://aclanthology.org/2023.emnlp-main.437/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
16. [On Operations in Automatic Text Simplification](https://aclanthology.org/2023.tsar-1.12/) *— 2023 · Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability*
17. [PivotFEC: Enhancing Few-shot Factual Error Correction with a Pivot Task Approach using Large Language Models](https://aclanthology.org/2023.findings-emnlp.667/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
18. [Reducing Sequence Length by Predicting Edit Spans with Large Language Models](https://aclanthology.org/2023.emnlp-main.619/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
19. [Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework](https://aclanthology.org/2023.acl-long.779/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [Revisiting non-English Text Simplification: A Unified Multilingual Benchmark](https://aclanthology.org/2023.acl-long.269/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
21. [RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting](https://arxiv.org/abs/2305.15685) *— 2023 · arXiv:2305.15685 · AAAI 2024*
22. [SIMSUM: Document-level Text Simplification via Simultaneous Summarization](https://aclanthology.org/2023.acl-long.552/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
23. [SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages](https://aclanthology.org/2023.acl-long.596/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
24. [Sentence Simplification Using Paraphrase Corpus for Initialization](https://arxiv.org/abs/2305.19754) *— 2023 · arXiv:2305.19754*
25. [SimpLex: a lexical text simplification architecture](https://arxiv.org/abs/2304.07002) *— 2023 · arXiv:2304.07002 · Neural Computing and Applications, 35(8):6265-6280, 2023*
26. [Simplification by Lexical Deletion](https://aclanthology.org/2023.tsar-1.5/) *— 2023 · Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability*
27. [Simplifying Administrative Texts for Italian L2 Readers with Controllable Transformers Models: A Data-driven Approach](https://aclanthology.org/2023.clicit-1.37/) *— 2023 · Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023)*
28. [The student becomes the master: Outperforming GPT3 on Scientific Factual Error Correction](https://aclanthology.org/2023.findings-emnlp.451/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
29. [Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation](https://aclanthology.org/2023.emnlp-demo.30/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
30. [Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture](https://aclanthology.org/2023.findings-acl.838/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
31. [Traditional Readability Formulas Compared for English](https://arxiv.org/abs/2301.02975) *— 2023 · arXiv:2301.02975*
32. [Uniform Complexity for Text Generation](https://aclanthology.org/2023.findings-emnlp.805/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
33. [Using ChatGPT as a CAT tool in Easy Language translation](https://aclanthology.org/2023.tsar-1.1/) *— 2023 · Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability*
34. [What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability](https://aclanthology.org/2023.emnlp-main.887/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
35. [Zero-shot Faithful Factual Error Correction](https://aclanthology.org/2023.acl-long.311/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
36. [huPWKP: A Hungarian Text Simplification Corpus](https://aclanthology.org/2023.ranlp-1.97/) *— 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing*
37. [(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification](https://aclanthology.org/2022.tsar-1.12/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
38. [A Benchmark Dataset for Multi-Level Complexity-Controllable Machine Translation](https://aclanthology.org/2022.lrec-1.726/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
39. [An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models](https://aclanthology.org/2022.acl-long.520/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
40. [An Investigation into the Effect of Control Tokens on Text Simplification](https://aclanthology.org/2022.tsar-1.14/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
41. [Automatic Text Simplification of News Articles in the Context of Public Broadcasting](https://arxiv.org/abs/2212.13317) *— 2022 · arXiv:2212.13317*
42. [Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation](https://aclanthology.org/2022.coling-1.313/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
43. [CoditT5: Pretraining for Source Code and Natural Language Editing](https://arxiv.org/abs/2208.05446) *— 2022 · arXiv:2208.05446*
44. [Cognitive Simplification Operations Improve Text Simplification](https://aclanthology.org/2022.conll-1.17/) *— 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)*
45. [Complex Word Identification in Vietnamese: Towards Vietnamese Text Simplification](https://aclanthology.org/2022.mia-1.6/) *— 2022 · Proceedings of the Workshop on Multilingual Information Access (MIA)*
46. [Control Prefixes for Parameter-Efficient Text Generation](https://aclanthology.org/2022.gem-1.31/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
47. [Controllable Text Simplification with Deep Reinforcement Learning](https://aclanthology.org/2022.aacl-short.49/) *— 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 2: Short Papers)*
48. [Divide-and-Conquer Text Simplification by Scalable Data Enhancement](https://aclanthology.org/2022.tsar-1.15/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
49. [Explain to me like I am five -- Sentence Simplification Using Transformers](https://arxiv.org/abs/2212.04595) *— 2022 · arXiv:2212.04595*
50. [Fine-tuned Language Models are Continual Learners](https://arxiv.org/abs/2205.12393) *— 2022 · arXiv:2205.12393*
51. [GEMv2: Multilingual NLG Benchmarking in a Single Line of Code](https://aclanthology.org/2022.emnlp-demos.27/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
52. [GRS: Combining Generation and Revision in Unsupervised Sentence Simplification](https://aclanthology.org/2022.findings-acl.77/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
53. [Generation of Patient After-Visit Summaries to Support Physicians](https://aclanthology.org/2022.coling-1.544/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
54. [Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks](https://aclanthology.org/2022.emnlp-main.678/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
55. [Improving Text Simplification with Factuality Error Detection](https://aclanthology.org/2022.tsar-1.16/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
56. [Inducing Positive Perspectives with Text Reframing](https://aclanthology.org/2022.acl-long.257/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
57. [IrekiaLFes: a New Open Benchmark and Baseline Systems for Spanish Automatic Text Simplification](https://aclanthology.org/2022.tsar-1.8/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
58. [JADES: New Text Simplification Dataset in Japanese Targeted at Non-Native Speakers](https://aclanthology.org/2022.tsar-1.17/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
59. [Klexikon: A German Dataset for Joint Summarization and Simplification](https://aclanthology.org/2022.lrec-1.288/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
60. [Lexically Constrained Decoding with Edit Operation Prediction for Controllable Text Simplification](https://aclanthology.org/2022.tsar-1.13/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
61. [Linguistic Corpus Annotation for Automatic Text Simplification Evaluation](https://aclanthology.org/2022.emnlp-main.121/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
62. [MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases](https://aclanthology.org/2022.lrec-1.176/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
63. [Multitasking Framework for Unsupervised Simple Definition Generation](https://aclanthology.org/2022.acl-long.409/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
64. [Noisy Channel for Automatic Text Simplification](https://arxiv.org/abs/2211.03152) *— 2022 · arXiv:2211.03152*
65. [Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning](https://arxiv.org/abs/2202.00535) *— 2022 · arXiv:2202.00535*
66. [PEER: A Collaborative Language Model](https://arxiv.org/abs/2208.11663) *— 2022 · arXiv:2208.11663*
67. [Patient-friendly Clinical Notes: Towards a new Text Simplification Dataset](https://aclanthology.org/2022.tsar-1.3/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
68. [Predicting Sentence Deletions for Text Simplification Using a Functional Discourse Structure](https://aclanthology.org/2022.acl-short.28/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
69. [Quantified Reproducibility Assessment of NLP Results](https://aclanthology.org/2022.acl-long.2/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
70. [RCML at TSAR-2022 Shared Task: Lexical Simplification With Modular Substitution Candidate Ranking](https://aclanthology.org/2022.tsar-1.29/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
71. [Reproducing a Manual Evaluation of the Simplicity of Text Simplification System Outputs](https://aclanthology.org/2022.inlg-genchal.12/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation: Generation Challenges*
72. [Revision for Concision: A Constrained Paraphrase Generation Task](https://aclanthology.org/2022.tsar-1.6/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
73. [Same Author or Just Same Topic? Towards Content-Independent Style Representations](https://aclanthology.org/2022.repl4nlp-1.26/) *— 2022 · Proceedings of the 7th Workshop on Representation Learning for NLP*
74. [Simple TICO-19: A Dataset for Joint Translation and Simplification of COVID-19 Texts](https://aclanthology.org/2022.lrec-1.331/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
75. [SimpleStyle: An Adaptable Style Transfer Approach](https://arxiv.org/abs/2212.10498) *— 2022 · arXiv:2212.10498*
76. [Sous-titrage automatique : étude de stratégies d”adaptation aux genres télévisuels Automatic closed captioning: a study of strategies for televisual genre adaptation](https://aclanthology.org/2022.tal-1.1/) *— 2022*
77. [TS-ANNO: An Annotation Tool to Build, Annotate and Evaluate Text Simplification Corpora](https://aclanthology.org/2022.acl-demo.14/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations*
78. [Text Revision by On-the-Fly Representation Optimization](https://aclanthology.org/2022.in2writing-1.7/) *— 2022 · Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022)*
79. [Text Simplification of College Admissions Instructions: A Professionally Simplified and Verified Corpus](https://aclanthology.org/2022.coling-1.566/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
80. [Towards Arabic Sentence Simplification via Classification and Generative Approaches](https://aclanthology.org/2022.wanlp-1.5/) *— 2022 · Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)*
81. [Understanding Iterative Revision from Human-Written Text](https://aclanthology.org/2022.acl-long.250/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
82. [Updated Headline Generation: Creating Updated Summaries for Evolving News Stories](https://aclanthology.org/2022.acl-long.446/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
83. [A New Dataset and Efficient Baselines for Document-level Text Simplification in German](https://aclanthology.org/2021.newsum-1.16/) *— 2021 · Proceedings of the Third Workshop on New Frontiers in Summarization*
84. [A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification](https://aclanthology.org/2021.findings-acl.330/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
85. [A Review of Text Style Transfer using Deep Learning](https://arxiv.org/abs/2109.15144) *— 2021 · arXiv:2109.15144 · IEEE Transactions on Artificial Intelligence (TAI), (2021)*
86. [A Syntax-Aware Edit-based System for Text Simplification](https://aclanthology.org/2021.ranlp-1.38/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
87. [An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages](https://aclanthology.org/2021.findings-emnlp.22/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
88. [Automatic Text Simplification for Social Good: Progress and Challenges](https://aclanthology.org/2021.findings-acl.233/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
89. [BiSECT: Learning to Split and Rephrase Sentences with Bitexts](https://aclanthology.org/2021.emnlp-main.500/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
90. [Controllable Sentence Simplification with a Unified Text-to-Text Transfer Transformer](https://aclanthology.org/2021.inlg-1.38/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
91. [Controllable Text Simplification with Explicit Paraphrasing](https://aclanthology.org/2021.naacl-main.277/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
92. [Decontextualization: Making Sentences Stand-Alone](https://aclanthology.org/2021.tacl-1.27/) *— 2021 · Transactions of the Association for Computational Linguistics*
93. [Document-Level Text Simplification: Dataset, Criteria and Baseline](https://aclanthology.org/2021.emnlp-main.630/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
94. [Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework](https://aclanthology.org/2021.emnlp-main.569/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
95. [Elaborative Simplification: Content Addition and Explanation Generation in Text Simplification](https://aclanthology.org/2021.findings-acl.455/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
96. [Evaluating and Explaining Natural Language Generation with GenX](https://aclanthology.org/2021.dash-1.12/) *— 2021 · Proceedings of the Second Workshop on Data Science with Human in the Loop: Language Advances*
97. [Evidence-based Factual Error Correction](https://aclanthology.org/2021.acl-long.256/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
98. [ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning](https://arxiv.org/abs/2111.10952) *— 2021 · arXiv:2111.10952*
99. [Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification](https://aclanthology.org/2021.acl-long.88/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
100. [Exploring German Multi-Level Text Simplification](https://aclanthology.org/2021.ranlp-1.150/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*

Pages: [1](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/cited-by/) · [2](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/cited-by/page/2/) · **3** · [4](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/cited-by/page/4/) · [5](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/cited-by/page/5/)