--- title: "Wei Xu — papers and cards" description: "Wei Xu: 3 paper cards in the Research library (2012–2017), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/wei-xu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/wei-xu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Wei Xu # Wei Xu 3 paper cards in the Research library · 2012–2017 Wei Xu wrote 3 of the papers Mova reads, in 2012–2017, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with Alan Ritter, Bill Dolan, [Chris Callison-Burch](https://md.research.elamur.ai/free/en/authors/chris-callison-burch/). [OpenAlex](https://openalex.org/A5070905937) · [ORCID](https://orcid.org/0000-0002-7044-3232) · [**h-index 48**](https://openalex.org/authors/A5070905937) · [8810 citations](https://openalex.org/authors/A5070905937) · [222 works](https://openalex.org/works?filter=author.id:A5070905937) — openalex-snapshot, 2026-10-14 The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Wei+Xu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Wei+Xu) · [dblp](https://dblp.org/search?q=Wei+Xu) · [ACL Anthology](https://aclanthology.org/search/?q=Wei+Xu) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Wei+Xu) Topics: [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 3 ## Papers 1. **[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/)** *(2017)* This is a position and survey paper, not a method paper. It names seven language styles that the author thinks matter: simple and short text, historical and evolving language, instructional and robotic language, colloquial and internet language, gendered and personalized language, polite and abusive language, and… 2. **[Optimizing Statistical Machine Translation for Text Simplification](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/)** *(2016)* The paper adapts a syntax-based statistical translation system to simplify sentences. Its paraphrase rules come from large bilingual paraphrase tables (PPDB), which are easier to get than manually simplified text, and they are ranked with simplicity-specific features. The main contribution is the metric SARI. It… 3. **[Paraphrasing for Style](https://md.research.elamur.ai/free/en/papers/xu-2012-paraphrasing-style/)** *(2012)* The paper asks whether a paraphrase system can be steered toward a writing style. Its testbed is Shakespeare's plays paired with their modern prose translations, aligned into roughly 21,000 sentence pairs from one source and about 10,000 from another. A phrase-based statistical MT system is trained in the… ## Co-authors (8) - Alan Ritter - Bill Dolan - [Chris Callison-Burch](https://md.research.elamur.ai/free/en/authors/chris-callison-burch/) - [Colin Cherry](https://md.research.elamur.ai/free/en/authors/colin-cherry/) - Courtney Napoles - [Ellie Pavlick](https://md.research.elamur.ai/free/en/authors/ellie-pavlick/) - Quanze Chen - Ralph Grishman ## More papers in the library (8) Pages of the Research library: our summary, the ideas, references and who cites each. - [Having Beer after Prayer? Measuring Cultural Bias in Large Language Models](https://md.research.elamur.ai/free/en/papers/naous-2023-having-beer-after-prayer-measuring/) — Tarek Naous, Michael J. Ryan, Alan Ritter, et al. · 2023 - [LENS: A Learnable Evaluation Metric for Text Simplification](https://md.research.elamur.ai/free/en/papers/maddela-2023-lens-learnable-evaluation-metric-text/) — Mounica Maddela, Yao Dou, David Heineman, et al. · 2023 - [Controllable Text Simplification with Explicit Paraphrasing](https://md.research.elamur.ai/free/en/papers/maddela-2021-controllable-text-simplification-explicit-paraphrasing/) — Mounica Maddela, Fernando Alva-Manchego, Wei Xu · 2021 - [Neural CRF Model for Sentence Alignment in Text Simplification](https://md.research.elamur.ai/free/en/papers/jiang-2020-neural-crf-model-sentence-alignment/) — Chao Jiang, Mounica Maddela, Wuwei Lan, et al. · 2020 - [A Continuously Growing Dataset of Sentential Paraphrases](https://md.research.elamur.ai/free/en/papers/lan-2017-continuously-growing-dataset-sentential-paraphrases/) — Wuwei Lan, Siyu Qiu, Hua He, et al. · 2017 - [Bidirectional LSTM-CRF Models for Sequence Tagging](https://md.research.elamur.ai/free/en/papers/huang-2015-bidirectional-lstm-crf-models-sequence/) — Zhiheng Huang, Wei Xu, Kai Yu · 2015 - [Problems in Current Text Simplification Research: New Data Can Help](https://md.research.elamur.ai/free/en/papers/xu-2015-problems-current-text-simplification-research/) — Wei Xu, Chris Callison-Burch, Courtney Napoles · 2015 - [SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)](https://md.research.elamur.ai/free/en/papers/xu-2015-semeval-2015-task-1-paraphrase/) — Wei Xu, Chris Callison-Burch, Bill Dolan · 2015