| A Large-Scale Comparison of Historical Text Normalization Systems M Bollmann arXiv preprint arXiv:1904.02036, 2019 | 90 | 2019 |
| Improving historical spelling normalization with bi-directional LSTMs and multi-task learning M Bollmann, A Søgaard Proceedings of the 26th International Conference on Computational …, 2016 | 82 | 2016 |
| Rule-based normalization of historical texts M Bollmann, F Petran, S Dipper Proceedings of the Workshop on Language Technologies for Digital Humanities …, 2011 | 60 | 2011 |
| Adapting SimpleNLG to German M Bollmann Proceedings of the 13th European Workshop on Natural Language Generation …, 2011 | 50 | 2011 |
| POS tagging for historical texts with sparse training data M Bollmann Proceedings of the 7th Linguistic Annotation Workshop and Interoperability …, 2013 | 42 | 2013 |
| Automatic normalization of historical texts using distance measures and the Norma tool M Bollmann Proceedings of the Second Workshop on Annotation of Corpora for Research in …, 2012 | 42 | 2012 |
| Manual and semi-automatic normalization of historical spelling-case studies from Early New High German. M Bollmann, S Dipper, J Krasselt, F Petran KONVENS, 342-350, 2012 | 40 | 2012 |
| Learning attention for historical text normalization by learning to pronounce M Bollmann, J Bingel, A Søgaard Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 39 | 2017 |
| Normalization of historical texts with neural network models M Bollmann Bochumer Linguistische Arbeitsberichte 22, 2018 | 29 | 2018 |
| CorA: A web-based annotation tool for historical and other non-standard language data M Bollmann, F Petran, S Dipper, J Krasselt Proceedings of the 8th Workshop on Language Technology for Cultural Heritage …, 2014 | 29 | 2014 |
| The CLIN27 Shared Task: Translating Historical Text to Contemporary Language for Improving Automatic Linguistic Annotation E Tjong Kim Sang, M Bollmann, R Boschker, F Casacuberta, S Dipper, ... Computational Linguistics in the Netherlands 7, 53-64, 0 | 27* | |
| Applying rule-based normalization to different types of historical texts—an evaluation M Bollmann, F Petran, S Dipper Human Language Technology Challenges for Computer Science and Linguistics …, 2014 | 22 | 2014 |
| Multi-task learning for historical text normalization: Size matters M Bollmann, A Søgaard, J Bingel Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP …, 2018 | 19 | 2018 |
| On Forgetting to Cite Older Papers: An Analysis of the ACL Anthology M Bollmann, D Elliott Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 12 | 2020 |
| ReM: A reference corpus of Middle High German—corpus compilation, annotation, and access F Petran, M Bollmann, S Dipper, T Klein Journal of Language Technology an Computational Linguistics 31 (2), 1-15, 2016 | 11 | 2016 |
| Guidelines for normalizing historical German texts J Krasselt, M Bollmann, S Dipper, F Petran Bochumer Linguistische Arbeitsberichte 15, 2015 | 11* | 2015 |
| Automatic normalization for linguistic annotation of historical language data M Bollmann Bochumer Linguistische Arbeitsberichte 13, 2013 | 8 | 2013 |
| Historical Text Normalization with Delayed Rewards S Flachs, M Bollmann, A Søgaard Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 6 | 2019 |
| Moses and the Character-Based Random Babbling Baseline: CoAStaL at AmericasNLP 2021 Shared Task M Bollmann, R Aralikatte, HM Bello, D Hershcovich, M de Lhoneux, ... Proceedings of the First Workshop on Natural Language Processing for …, 2021 | 5 | 2021 |
| Spelling normalization of historical German with sparse training data M Bollmann Proceedings of the Corpus Analysis with Noise in the Signal workshop (CANS 2013), 2013 | 5 | 2013 |
Florian PetranResearch Assistant, Ruhr-Universität Bochum在 linguistics.rub.de 的电子邮件经过验证
