| The CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection MH Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther ... arXiv preprint arXiv:1810.07125, 2018 | 158 | 2018 |
| Hfst tools for morphology–an efficient open-source package for construction of morphological analyzers K Lindén, M Silfverberg, T Pirinen State of the Art in Computational Morphology: Workshop on Systems and …, 2009 | 144 | 2009 |
| Hfst—framework for compiling and applying morphologies K Lindén, E Axelson, S Hardwick, TA Pirinen, M Silfverberg Systems and Frameworks for Computational Morphology: Second International …, 2011 | 119 | 2011 |
| The SIGMORPHON 2019 shared task: Morphological analysis in context and cross-lingual transfer for inflection AD McCarthy, E Vylomova, S Wu, C Malaviya, L Wolf-Sonkin, G Nicolai, ... arXiv preprint arXiv:1910.11493, 2019 | 114 | 2019 |
| UniMorph 3.0: Universal Morphology AD McCarthy, C Kirov, M Grella, A Nidhi, P Xia, K Gorman, E Vylomova, ... Proceedings of The 12th language resources and evaluation conference, 3922-3931, 2020 | 99 | 2020 |
| A report on the third VarDial evaluation campaign M Zampieri, S Malmasi, Y Scherrer, T Samardžic, F Tyers, MP Silfverberg, ... Workshop on NLP for Similar Languages, Varieties and Dialects, 1-16, 2019 | 92 | 2019 |
| A Finnish news corpus for named entity recognition T Ruokolainen, P Kauppinen, M Silfverberg, K Lindén Language Resources and Evaluation 54, 247-272, 2020 | 89 | 2020 |
| Kernel density estimation for text-based geolocation M Hulden, M Silfverberg, J Francom Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 82 | 2015 |
| Data augmentation for morphological reinflection M Silfverberg, A Wiemerslage, L Liu, LJ Mao Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal …, 2017 | 73 | 2017 |
| SIGMORPHON 2020 shared task 0: Typologically diverse morphological inflection E Vylomova, J White, E Salesky, SJ Mielke, S Wu, E Ponti, RH Maudslay, ... arXiv preprint arXiv:2006.11572, 2020 | 64 | 2020 |
| Sound analogies with phoneme embeddings MP Silfverberg, L Mao, M Hulden Society for Computation in Linguistics 1 (1), 2018 | 45 | 2018 |
| Hfst—a system for creating nlp tools K Lindén, E Axelson, S Drobac, S Hardwick, J Kuokkala, J Niemi, ... Systems and Frameworks for Computational Morphology: Third International …, 2013 | 42 | 2013 |
| Marrying universal dependencies and universal morphology AD McCarthy, M Silfverberg, R Cotterell, M Hulden, D Yarowsky arXiv preprint arXiv:1810.06743, 2018 | 41 | 2018 |
| Part-of-speech tagging using conditional random fields: Exploiting sub-label dependencies for improved accuracy M Silfverberg, T Ruokolainen, K Linden, M Kurimo Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 41 | 2014 |
| Weird inflects but OK: Making sense of morphological generation errors K Gorman, AD McCarthy, R Cotterell, E Vylomova, M Silfverberg, ... Proceedings of the 23rd Conference on Computational Natural Language …, 2019 | 37 | 2019 |
| FinnPos: an open-source morphological tagging and lemmatization toolkit for Finnish M Silfverberg, T Ruokolainen, K Lindén, M Kurimo Language Resources and Evaluation 50, 863-878, 2016 | 32 | 2016 |
| UniMorph 4.0: universal morphology K Batsuren, O Goldman, S Khalifa, N Habash, W Kieraś, G Bella, ... arXiv preprint arXiv:2205.03608, 2022 | 31 | 2022 |
| An encoder-decoder approach to the paradigm cell filling problem M Silfverberg, M Hulden Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 28 | 2018 |
| Data-driven spelling correction using weighted finite-state methods M Silfverberg, P Kauppinen, K Lindén Proceedings of the SIGFSM Workshop on Statistical NLP and Weighted Automata …, 2016 | 27 | 2016 |
| Computational modeling of verbs in Dene languages: The case of Tsuut’ina A Arppe, C Cox, M Hulden, J Lachler, SN Moshagen, M Silfverberg, ... Working Papers in Athabaskan (Dene) Languages, 51-69, 2017 | 21 | 2017 |
Krister LindénResearch Director, University of HelsinkiVahvistettu sähköpostiosoite verkkotunnuksessa helsinki.fi