[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/authors/marcel-bollmann/) [home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/) / Marcel Bollmann # Marcel Bollmann 9 paper cards in Mova's library · 2011–2019 Marcel Bollmann wrote 9 of the papers Mova reads, in 2011–2019, most of them on [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/), [Part-of-speech tagging](https://md.mova.elamur.ai/free/en/docs/papers/topics/part-of-speech-tagging/); often with [Anders Søgaard](https://md.mova.elamur.ai/free/en/docs/papers/authors/anders-sogaard/), [Florian Petran](https://md.mova.elamur.ai/free/en/docs/papers/authors/florian-petran/), [Joachim Bingel](https://md.mova.elamur.ai/free/en/docs/papers/authors/joachim-bingel/). [OpenAlex](https://openalex.org/A5005438563) · [ORCID](https://orcid.org/0000-0003-2598-8150) · [**h-index 11**](https://openalex.org/authors/A5005438563) · [337 citations](https://openalex.org/authors/A5005438563) · [42 works](https://openalex.org/works?filter=author.id:A5005438563) — openalex, 2026-10-18 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=Marcel+Bollmann) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Marcel+Bollmann) · [dblp](https://dblp.org/search?q=Marcel+Bollmann) · [ACL Anthology](https://aclanthology.org/search/?q=Marcel+Bollmann) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Marcel+Bollmann) Topics: [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 2 · [Part-of-speech tagging](https://md.mova.elamur.ai/free/en/docs/papers/topics/part-of-speech-tagging/) 1 ## Papers 1. **[A Large-Scale Comparison of Historical Text Normalization Systems](https://md.mova.elamur.ai/free/en/docs/papers/bollmann-2019-large-scale-comparison-historical-text/)** *(2019)* The paper compares historical spelling normalization systems across eight languages, covering rule-based, distance-based, character statistical MT and neural approaches. 2. **[Historical Text Normalization with Delayed Rewards](https://md.mova.elamur.ai/free/en/docs/papers/acl-2019-flachs-historical-text-normalization-delayed-rewards/)** *(2019)* Sequence-to-sequence normalisers are usually trained with token-level maximum likelihood. The paper fine-tunes such a model with policy gradient, so that the training signal is the exact match of the whole normalisation, a delayed reward. Six historical datasets are used. Fine-tuning reduces the error by 20% for… 3. **[Few-Shot and Zero-Shot Learning for Historical Text Normalization](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2019-bollmann-few-shot-zero-shot-learning/)** *(2019)* The paper evaluates 63 multi-task configurations of an encoder-decoder normaliser on ten datasets in eight languages. 4. **[Multi-task learning for historical text normalization: Size matters](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2018-bollmann-multi-task-learning-historical-text/)** *(2018)* The paper asks when multi-task learning helps historical normalisation. It tests an encoder-decoder model with and without auxiliary tasks on 10 datasets from 8 languages, from German and English to Hungarian, Icelandic, Slovene, Spanish, Portuguese and Swedish. Most datasets either always gain or always lose from… 5. **[Learning attention for historical text normalization by learning to pronounce](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2017-bollmann-learning-attention-historical-text-normalization/)** *(2017)* The paper treats historical normalisation as a character-level transduction with an encoder-decoder RNN, so no explicit character alignment is needed. 6. **[Improving historical spelling normalization with bi-directional LSTMs and multi-task learning](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-bollmann-improving-historical-spelling-normalization-bi/)** *(2016)* The paper frames historical spelling normalisation as character-level sequence labelling and uses a bi-directional LSTM for it. 7. **[Evaluating Inter-Annotator Agreement on Historical Spelling Normalization](https://md.mova.elamur.ai/free/en/docs/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. 8. **[POS Tagging for Historical Texts with Sparse Training Data](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2013-bollmann-pos-tagging-historical-texts-sparse/)** *(2013)* The paper tags historical German (1400–1770) in two steps. First, the Norma tool normalises the spelling to modern forms. Second, a tagger trained on modern German tags the normalised text. The normaliser needs only a few hundred hand-normalised tokens per text. Before normalisation, the text matches the gold… 9. **[Rule-Based Normalization of Historical Texts](https://md.mova.elamur.ai/free/en/docs/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 (6) - [Anders Søgaard](https://md.mova.elamur.ai/free/en/docs/papers/authors/anders-sogaard/) ×5 - [Florian Petran](https://md.mova.elamur.ai/free/en/docs/papers/authors/florian-petran/) ×2 - [Joachim Bingel](https://md.mova.elamur.ai/free/en/docs/papers/authors/joachim-bingel/) ×2 - [Stefanie Dipper](https://md.mova.elamur.ai/free/en/docs/papers/authors/stefanie-dipper/) ×2 - Natalia Korchagina - Simon Flachs - [← previous Mans Hulden](https://md.mova.elamur.ai/free/en/docs/papers/authors/mans-hulden/) - [next → Maria Simi](https://md.mova.elamur.ai/free/en/docs/papers/authors/maria-simi/) - [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)