--- title: "Cynthia Rudin — papers and cards" description: "Cynthia Rudin: 2 paper cards in the Research library (2008–2023), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/cynthia-rudin/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/cynthia-rudin/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Cynthia Rudin # Cynthia Rudin 2 paper cards in the Research library · 2008–2023 Cynthia Rudin wrote 2 of the papers Mova reads, in 2008–2023, most of them on [Part-of-speech tagging](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/), [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with Edwin Agnew, Lily Zhu, Michelle Qiu. [OpenAlex](https://openalex.org/A5040468715) · [ORCID](https://orcid.org/0000-0003-4283-2780) · [**h-index 54**](https://openalex.org/authors/A5040468715) · [24687 citations](https://openalex.org/authors/A5040468715) · [344 works](https://openalex.org/works?filter=author.id:A5040468715) — 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=Cynthia+Rudin) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Cynthia+Rudin) · [dblp](https://dblp.org/search?q=Cynthia+Rudin) · [ACL Anthology](https://aclanthology.org/search/?q=Cynthia+Rudin) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Cynthia+Rudin) Topics: [Part-of-speech tagging](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/) 1 · [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 1 ## Papers 1. **[The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation](https://md.research.elamur.ai/free/en/papers/agnew-2023-mechanical-bard-interpretable-machine-learning/)** *(2023)* The paper generates Shakespearean sonnets with a small pretrained model (GPT-2, fine-tuned on poems and sonnets) and enforces the sonnet form explicitly rather than hoping training teaches it. 2. **[Arabic Morphological Tagging, Diacritization, and Lemmatization Using Lexeme Models and Feature Ranking](https://md.research.elamur.ai/free/en/papers/aclbulk-2008-roth-arabic-morphological-tagging-diacritization-lemmatization/)** *(2008)* MADA picks, for each Arabic word, one analysis from the candidates that the BAMA dictionary proposes. It scores each candidate by summing the weights of the features on which the candidate agrees with the model's prediction. The features are 14 morphological tags, each predicted by an SVM, two checks (spelling match… ## Co-authors (8) - Edwin Agnew - Lily Zhu - Michelle Qiu - [Mona Diab](https://md.research.elamur.ai/free/en/authors/mona-diab/) - [Nizar Habash](https://md.research.elamur.ai/free/en/authors/nizar-habash/) - [Owen Rambow](https://md.research.elamur.ai/free/en/authors/owen-rambow/) - [Ryan Roth](https://md.research.elamur.ai/free/en/authors/ryan-roth/) - [Sam Wiseman](https://md.research.elamur.ai/free/en/authors/sam-wiseman/) ## More papers in the library (1) Pages of the Research library: our summary, the ideas, references and who cites each. - [Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead](https://md.research.elamur.ai/free/en/papers/rudin-2018-stop-explaining-black-box/) — Cynthia Rudin · 2018