---
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/5/"
---
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[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 5

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

1. [Integrating Transformer and Paraphrase Rules for Sentence Simplification](https://aclanthology.org/D18-1355/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
2. [Learning Simplifications for Specific Target Audiences](https://aclanthology.org/P18-2113/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
3. [Lexical Substitution is Practical for Rare Word Simplification](https://aclanthology.org/Y18-1051/) *— 2018 · Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation*
4. [Multi-Task Neural Models for Translating Between Styles Within and Across Languages](https://aclanthology.org/C18-1086/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
5. [Par4Sim – Adaptive Paraphrasing for Text Simplification](https://aclanthology.org/C18-1028/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
6. [Reference-less Quality Estimation of Text Simplification Systems](https://aclanthology.org/W18-7005/) *— 2018 · Proceedings of the 1st Workshop on Automatic Text Adaptation (ATA)*
7. [Semantic Structural Evaluation for Text Simplification](https://md.research.elamur.ai/free/en/papers/sulem-2018-semantic-structural-evaluation-text-simplification/) *— our card · 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
8. [Sentence Simplification with Memory-Augmented Neural Networks](https://aclanthology.org/N18-2013/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)*
9. [SimPA: A Sentence-Level Simplification Corpus for the Public Administration Domain](https://aclanthology.org/L18-1685/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
10. [Simple and Effective Text Simplification Using Semantic and Neural Methods](https://md.research.elamur.ai/free/en/papers/sulem-2018-simple-effective-text-simplification-semantic/) *— our card · 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [Simplified Corpus with Core Vocabulary](https://aclanthology.org/L18-1185/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
12. [Simplifying Sentences with Sequence to Sequence Models](https://arxiv.org/abs/1805.05557) *— 2018 · arXiv:1805.05557*
13. [Text Simplification from Professionally Produced Corpora](https://aclanthology.org/L18-1553/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
14. [A Constrained Sequence-to-Sequence Neural Model for Sentence Simplification](https://arxiv.org/abs/1704.02312) *— 2017 · arXiv:1704.02312*
15. [A Semantic Relevance Based Neural Network for Text Summarization and Text Simplification](https://arxiv.org/abs/1710.02318) *— 2017 · arXiv:1710.02318*
16. [Break it Down for Me: A Study in Automated Lyric Annotation](https://aclanthology.org/D17-1220/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
17. [Building a Non-Trivial Paraphrase Corpus Using Multiple Machine Translation Systems](https://aclanthology.org/P17-3007/) *— 2017 · Proceedings of ACL 2017, Student Research Workshop*
18. [Evaluating prose style transfer with the Bible](https://md.research.elamur.ai/free/en/papers/carlson-2017-evaluating-prose-style-transfer-bible/) *— our card · 2017 · arXiv:1711.04731 · Royal Society open science 5.10 (2018): 171920*
19. [Exploring Neural Text Simplification Models](https://aclanthology.org/P17-2014/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
20. [From Shakespeare to Twitter: What are Language Styles all about?](https://md.research.elamur.ai/free/en/papers/xu-2017-shakespeare-twitter-what-are-language/) *— our card · 2017 · Proceedings of the Workshop on Stylistic Variation*
21. [Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs](https://md.research.elamur.ai/free/en/papers/manchego-2017-learning-how-simplify-explicit-labeling/) *— our card · 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
22. [MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual Pivoting](https://aclanthology.org/I17-1009/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
23. [Semantic Features Based on Word Alignments for Estimating Quality of Text Simplification](https://aclanthology.org/I17-2019/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
24. [Sentence Alignment Methods for Improving Text Simplification Systems](https://aclanthology.org/P17-2016/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
25. [Sentence Simplification with Deep Reinforcement Learning](https://aclanthology.org/D17-1062/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
26. [Split and Rephrase](https://aclanthology.org/D17-1064/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
27. [Systematically Adapting Machine Translation for Grammatical Error Correction](https://aclanthology.org/W17-5039/) *— 2017 · Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications*
28. [A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs](https://aclanthology.org/D16-1033/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
29. [A Theme-Rewriting Approach for Generating Algebra Word Problems](https://aclanthology.org/D16-1168/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
30. [Sentential Paraphrasing as Black-Box Machine Translation](https://aclanthology.org/N16-3013/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations*
31. [Unsupervised Sentence Simplification Using Deep Semantics](https://md.research.elamur.ai/free/en/papers/narayan-2016-unsupervised-sentence-simplification-deep-semantics/) *— our card · 2016 · Proceedings of the 9th International Natural Language Generation conference*

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