--- title: "Bonnie J. Dorr — papers and cards" description: "Bonnie J. Dorr: 3 paper cards in the Research library (1994–2010), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/bonnie-j-dorr/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/bonnie-j-dorr/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Bonnie J. Dorr # Bonnie J. Dorr 3 paper cards in the Research library · 1994–2010 Bonnie J. Dorr wrote 3 of the papers Mova reads, in 1994–2010, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with Mari Broman Olsen, Nitin Madnani, Scott C. Thomas. [OpenAlex](https://openalex.org/A5054060679) · [ORCID](https://orcid.org/0000-0003-4356-5813) · [**h-index 39**](https://openalex.org/authors/A5054060679) · [8418 citations](https://openalex.org/authors/A5054060679) · [432 works](https://openalex.org/works?filter=author.id:A5054060679) — 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=Bonnie+J.+Dorr) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Bonnie+J.+Dorr) · [dblp](https://dblp.org/search?q=Bonnie+J.+Dorr) · [ACL Anthology](https://aclanthology.org/search/?q=Bonnie+J.+Dorr) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Bonnie+J.+Dorr) Topics: [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 3 ## Papers 1. **[Generating Phrasal and Sentential Paraphrases: A Survey of Data-Driven Methods](https://md.research.elamur.ai/free/en/papers/madnani-2010-generating-phrasal-sentential-paraphrases-survey/)** *(2010)* The survey covers paraphrase generation from data over two decades of work. It organises the methods by the resource they use: distributional similarity over one corpus; monolingual parallel corpora, where two translations of one source text give aligned sentences; monolingual comparable corpora, such as news on the… 2. **[Toward compact monotonically compositional interlingua using lexical aspect](https://md.research.elamur.ai/free/en/papers/dorr-1997-compact-monotonically-compositional-interlingua-lexical/)** *(1997)* The interlingua of the UNITRAN project has 191 main verb classes, 434 subclasses and 237 distinct lexical conceptual structures. 3. **[Machine Translation Divergences: A Formal Description and Proposed Solution](https://md.research.elamur.ai/free/en/papers/dorr-1994-machine-translation-divergences-formal-description/)** *(1994)* Translation divergences are cross-linguistic differences where the same meaning comes out in a differently shaped sentence, so a direct structure-to-structure transfer breaks down. ## Co-authors (3) - Mari Broman Olsen - Nitin Madnani - Scott C. Thomas ## More papers in the library (2) Pages of the Research library: our summary, the ideas, references and who cites each. - [Multilingual Target-Stance Extraction](https://md.research.elamur.ai/free/en/papers/mines-2026-multilingual-target-stance-extraction/) — Ethan Leigh Mines, Bonnie J. Dorr · 2026 - [Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT](https://md.research.elamur.ai/free/en/papers/baker-2012-modality-negation-simt-use-modality/) — Kathryn Baker, Michael Bloodgood, Bonnie J. Dorr, et al. · 2012