[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-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 «Optimizing Statistical Machine Translation for Text Simplification» · page 5

# Who cites «Optimizing Statistical Machine Translation for Text Simplification» · page 5

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](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**

1. ledoyen-2025-facilitating-cognitive-accessibility-llms-multi
2. lgen-2025-human-centered-readability-evaluation
3. liu-2024-csswiki-chinese-sentence-simplification-dataset
4. liu-2024-proofread-fixes-all-errors-one
5. liu-2024-scinews-scholarly-complexities-public-narratives
6. liu-2026-disco-rag-discourse-aware-retrieval
7. madina-2024-preliminary-study-chatgpt-spanish-e2r
8. maruyama-2018-lexical-substitution-is-practical-rare
9. naskar-2019-text-embellishment-attention-based-encoder
10. popovic-2023-exploring-variation-results-different-experimental
11. reason-2025-utsamuel-archehr-qa-2025-clinical
12. rennes-2020-is-it-simpler-evaluation-aligned
13. russodivito-2024-ai-vs-human-effectiveness-llms
14. salvi-2025-understanding-llm-generated-biomedical-lay
15. shardlow-2023-simplification-lexical-deletion
16. singh-2024-refining-app-reviews-dataset-methodology
17. stahlberg-2020-seq2edits-sequence-transduction-using-span
18. stajner-2017-sentence-alignment-methods-improving-text
19. stajner-2018-automatic-assessment-conceptual-text-complexity
20. stajner-2018-data-driven-text-simplification
21. stajner-2018-detailed-evaluation-neural-sequence-sequence
22. stajner-2021-automatic-text-simplification-social-good
23. staliunaite-2025-dis2dis-explaining-ambiguity-fact-checking
24. sterckx-2017-break-it-down-me-study
25. tsukagoshi-2024-wikisplit-easy-data-refinement-split
26. urakawa-2024-japanese-news-simplification-corpus-faithfulness
27. wang-2025-can-llms-clarify-investigation-enhancement
28. yamaguchi-2024-automatic-decomposition-text-editing-examples
29. yang-2024-two-pronged-human-evaluation-chatgpt
30. yoadsanit-2025-lamar-archehr-qa-2025-clinically
31. zhang-2023-g-speed-general-sparse-efficient

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

- [← previous Who cites «Optimizing Statistical Machine Translation for Text Simplification» · page 4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xu-2016-optimizing-statistical-machine-translation-text-4/)
- [next → Who cites «From Shakespeare to Twitter: What are Language Styles all about?»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xu-2017-shakespeare-twitter-what-are-language/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)
