[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/xu-2016-optimizing-statistical-machine-translation-text-2/)

[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 «Optimizing Statistical Machine Translation for Text Simplification» · page 2

# Who cites «Optimizing Statistical Machine Translation for Text Simplification» · page 2

431 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/xu-2016-optimizing-statistical-machine-translation-text/)

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

1. [German Text Simplification: Finetuning Large Language Models with Semi-Synthetic Data](https://aclanthology.org/2024.ltedi-1.7/) *— 2024 · Proceedings of the Fourth Workshop on Language Technology for Equality, Diversity, Inclusion*
2. [Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement Learning](https://arxiv.org/abs/2401.15043) *— 2024 · arXiv:2401.15043*
3. [Improving Minimum Bayes Risk Decoding with Multi-Prompt](https://aclanthology.org/2024.emnlp-main.1255/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
4. [Label Confidence Weighted Learning for Target-level Sentence Simplification](https://aclanthology.org/2024.emnlp-main.999/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
5. [Language Resources in Spanish for Automatic Text Simplification across Domains](https://arxiv.org/abs/2409.20466) *— 2024 · arXiv:2409.20466*
6. [Large Language Models for Biomedical Text Simplification: Promising But Not There Yet](https://arxiv.org/abs/2408.03871) *— 2024 · arXiv:2408.03871*
7. [MCTS: A Multi-Reference Chinese Text Simplification Dataset](https://aclanthology.org/2024.lrec-main.969/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
8. [Meta-Evaluation of Sentence Simplification Metrics](https://aclanthology.org/2024.lrec-main.981/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
9. [REFeREE: A REference-FREE Model-Based Metric for Text Simplification](https://aclanthology.org/2024.lrec-main.1200/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
10. [Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese](https://aclanthology.org/2024.ccl-1.92/) *— 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)*
11. [Replace, Paraphrase or Fine-tune? Evaluating Automatic Simplification for Medical Texts in Spanish](https://aclanthology.org/2024.lrec-main.1216/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
12. [Reproduction & Benchmarking of German Text Simplification Systems](https://aclanthology.org/2024.determit-1.1/) *— 2024 · Proceedings of the Workshop on DeTermIt! Evaluating Text Difficulty in a Multilingual Context @ LREC-COLING 2024*
13. [SENTA: Sentence Simplification System for Slovene](https://aclanthology.org/2024.lrec-main.1279/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
14. [SIERA: An Evaluation Metric for Text Simplification using the Ranking Model and Data Augmentation by Edit Operations](https://aclanthology.org/2024.readi-1.5/) *— 2024 · Proceedings of the 3rd Workshop on Tools and Resources for People with REAding DIfficulties (READI) @ LREC-COLING 2024*
15. [SciGisPy: a Novel Metric for Biomedical Text Simplification via Gist Inference Score](https://aclanthology.org/2024.tsar-1.10/) *— 2024 · Proceedings of the Third Workshop on Text Simplification, Accessibility and Readability (TSAR 2024)*
16. [Sequence-to-Sequence Spanish Pre-trained Language Models](https://aclanthology.org/2024.lrec-main.1283/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
17. [SiTSE: Sinhala Text Simplification Dataset and Evaluation](https://arxiv.org/abs/2412.01293) *— 2024 · arXiv:2412.01293*
18. [Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMs](https://aclanthology.org/2024.findings-acl.506/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
19. [Spivavtor: An Instruction Tuned Ukrainian Text Editing Model](https://aclanthology.org/2024.unlp-1.12/) *— 2024 · Proceedings of the Third Ukrainian Natural Language Processing Workshop (UNLP) @ LREC-COLING 2024*
20. [Split and Rephrase with Large Language Models](https://aclanthology.org/2024.acl-long.622/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
21. [TESS: Text-to-Text Self-Conditioned Simplex Diffusion](https://aclanthology.org/2024.eacl-long.144/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
22. [Task-Oriented Paraphrase Analytics](https://aclanthology.org/2024.lrec-main.1360/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
23. [Text Simplification via Adaptive Teaching](https://aclanthology.org/2024.findings-acl.392/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
24. [The SAMER Arabic Text Simplification Corpus](https://aclanthology.org/2024.lrec-main.1398/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
25. [Towards AI-supported Health Communication in Plain Language: Evaluating Intralingual Machine Translation of Medical Texts](https://aclanthology.org/2024.cl4health-1.6/) *— 2024 · Proceedings of the First Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC-COLING 2024*
26. [Towards Automatic Finnish Text Simplification](https://aclanthology.org/2024.determit-1.4/) *— 2024 · Proceedings of the Workshop on DeTermIt! Evaluating Text Difficulty in a Multilingual Context @ LREC-COLING 2024*
27. [Towards an On-device Agent for Text Rewriting](https://aclanthology.org/2024.findings-naacl.163/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
28. [Transfer Fine-tuning for Quality Estimation of Text Simplification](https://aclanthology.org/2024.lrec-main.1455/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
29. [Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed?](https://aclanthology.org/2024.findings-emnlp.766/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
30. [XATU: A Fine-grained Instruction-based Benchmark for Explainable Text Updates](https://aclanthology.org/2024.lrec-main.1543/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
31. [kNN-BOX: A Unified Framework for Nearest Neighbor Generation](https://aclanthology.org/2024.eacl-demo.2/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations*
32. [mEdIT: Multilingual Text Editing via Instruction Tuning](https://aclanthology.org/2024.naacl-long.56/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
33. [A Call for Standardization and Validation of Text Style Transfer Evaluation](https://aclanthology.org/2023.findings-acl.687/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
34. [A New Dataset and Empirical Study for Sentence Simplification in Chinese](https://aclanthology.org/2023.acl-long.462/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
35. [A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents](https://aclanthology.org/2023.emnlp-main.193/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
36. [A User-Centered Evaluation of Spanish Text Simplification](https://arxiv.org/abs/2308.07556) *— 2023 · arXiv:2308.07556*
37. [ARTIST: ARTificial Intelligence for Simplified Text](https://arxiv.org/abs/2308.13458) *— 2023 · arXiv:2308.13458*
38. [Automatic text simplification of Russian texts using control tokens](https://aclanthology.org/2023.bsnlp-1.9/) *— 2023 · Proceedings of the 9th Workshop on Slavic Natural Language Processing 2023 (SlavicNLP 2023)*
39. [BLESS: Benchmarking Large Language Models on Sentence Simplification](https://aclanthology.org/2023.emnlp-main.821/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
40. [BoschAI @ PLABA 2023: Leveraging Edit Operations in End-to-End Neural Sentence Simplification](https://arxiv.org/abs/2311.01907) *— 2023 · arXiv:2311.01907*
41. [Can Knowledge Graphs Simplify Text?](https://arxiv.org/abs/2308.06975) *— 2023 · arXiv:2308.06975*
42. [Claim Optimization in Computational Argumentation](https://aclanthology.org/2023.inlg-main.10/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
43. [CoEdIT: Text Editing by Task-Specific Instruction Tuning](https://aclanthology.org/2023.findings-emnlp.350/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
44. [Comparing Generic and Expert Models for Genre-Specific Text Simplification](https://aclanthology.org/2023.tsar-1.6/) *— 2023 · Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability*
45. [Constructing Pseudo-parallel Swedish Sentence Corpora for Automatic Text Simplification](https://aclanthology.org/2023.nodalida-1.13/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
46. [Context and Literacy Aware Learnable Metric for Text Simplification](https://aclanthology.org/2023.gem-1.15/) *— 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
47. [Context-Aware Document Simplification](https://aclanthology.org/2023.findings-acl.834/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
48. [Controlling Pre-trained Language Models for Grade-Specific Text Simplification](https://aclanthology.org/2023.emnlp-main.790/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
49. [DEplain: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification](https://aclanthology.org/2023.acl-long.908/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
50. [Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA](https://aclanthology.org/2023.emnlp-main.211/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
51. [Data Augmentation for Radiology Report Simplification](https://aclanthology.org/2023.findings-eacl.144/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
52. [Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions](https://arxiv.org/abs/2308.00425) *— 2023 · arXiv:2308.00425*
53. [Document-Level Planning for Text Simplification](https://aclanthology.org/2023.eacl-main.70/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
54. [Document-level Text Simplification with Coherence Evaluation](https://aclanthology.org/2023.tsar-1.9/) *— 2023 · Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability*
55. [Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks](https://aclanthology.org/2023.emnlp-main.543/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
56. [EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers](https://arxiv.org/abs/2309.08532) *— 2023 · arXiv:2309.08532*
57. [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)*
58. [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*
59. [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)*
60. [Learning to Paraphrase Sentences to Different Complexity Levels](https://aclanthology.org/2023.tacl-1.76/) *— 2023 · Transactions of the Association for Computational Linguistics*
61. [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)*
62. [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*
63. [Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts](https://arxiv.org/abs/2302.09155) *— 2023 · arXiv:2302.09155*
64. [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*
65. [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*
66. [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*
67. [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*
68. [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*
69. [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*
70. [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*
71. [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)*
72. [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)*
73. [RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting](https://arxiv.org/abs/2305.15685) *— 2023 · arXiv:2305.15685 · AAAI 2024*
74. [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)*
75. [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)*
76. [Sentence Simplification Using Paraphrase Corpus for Initialization](https://arxiv.org/abs/2305.19754) *— 2023 · arXiv:2305.19754*
77. [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*
78. [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)*
79. [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*
80. [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*
81. [Traditional Readability Formulas Compared for English](https://arxiv.org/abs/2301.02975) *— 2023 · arXiv:2301.02975*
82. [Uniform Complexity for Text Generation](https://aclanthology.org/2023.findings-emnlp.805/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
83. [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*
84. [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*
85. [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)*
86. [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*
87. [(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)*
88. [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*
89. [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)*
90. [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)*
91. [Automatic Text Simplification of News Articles in the Context of Public Broadcasting](https://arxiv.org/abs/2212.13317) *— 2022 · arXiv:2212.13317*
92. [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*
93. [CoditT5: Pretraining for Source Code and Natural Language Editing](https://arxiv.org/abs/2208.05446) *— 2022 · arXiv:2208.05446*
94. [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)*
95. [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)*
96. [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)*
97. [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)*
98. [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)*
99. [Explain to me like I am five -- Sentence Simplification Using Transformers](https://arxiv.org/abs/2212.04595) *— 2022 · arXiv:2212.04595*
100. [Fine-tuned Language Models are Continual Learners](https://arxiv.org/abs/2205.12393) *— 2022 · arXiv:2205.12393*

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

- [← previous Who cites «Optimizing Statistical Machine Translation for Text Simplification»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xu-2016-optimizing-statistical-machine-translation-text/)
- [next → Who cites «Optimizing Statistical Machine Translation for Text Simplification» · page 3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xu-2016-optimizing-statistical-machine-translation-text-3/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)
