--- title: "Florian Petran — papers and cards" description: "Florian Petran: 2 paper cards in the Research library (2011–2016), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/florian-petran/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/florian-petran/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Florian Petran # Florian Petran 2 paper cards in the Research library · 2011–2016 Florian Petran wrote 2 of the papers Mova reads, in 2011–2016, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with [Marcel Bollmann](https://md.research.elamur.ai/free/en/authors/marcel-bollmann/), [Stefanie Dipper](https://md.research.elamur.ai/free/en/authors/stefanie-dipper/). [OpenAlex](https://openalex.org/A5031866050) · [**h-index 5**](https://openalex.org/authors/A5031866050) · [101 citations](https://openalex.org/authors/A5031866050) · [13 works](https://openalex.org/works?filter=author.id:A5031866050) — 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=Florian+Petran) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Florian+Petran) · [dblp](https://dblp.org/search?q=Florian+Petran) · [ACL Anthology](https://aclanthology.org/search/?q=Florian+Petran) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Florian+Petran) Topics: [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 1 ## Papers 1. **[Evaluating Inter-Annotator Agreement on Historical Spelling Normalization](https://md.research.elamur.ai/free/en/papers/aclbulk-2016-bollmann-evaluating-inter-annotator-agreement-historical/)** *(2016)* Normalisation labels are open and sparse, and most tokens are close to their surface form, so the usual agreement measures do not fit the task well. 2. **[Rule-Based Normalization of Historical Texts](https://md.research.elamur.ai/free/en/papers/bollmann-2011-rule-based-normalization-historical-texts/)** *(2011)* The paper normalizes Early New High German spelling to modern forms using only unsupervised learning and freely available resources. ## Co-authors (2) - [Marcel Bollmann](https://md.research.elamur.ai/free/en/authors/marcel-bollmann/) ×2 - [Stefanie Dipper](https://md.research.elamur.ai/free/en/authors/stefanie-dipper/) ×2