| Morfessor 2.0: Python implementation and extensions for Morfessor Baseline S Virpioja, P Smit, SA Grönroos, M Kurimo Aalto University, 2013 | 177 | 2013 |
| Morfessor 2.0: Toolkit for statistical morphological segmentation P Smit, S Virpioja, SA Grönroos, M Kurimo The 14th Conference of the European Chapter of the Association for …, 2014 | 141 | 2014 |
| Morfessor FlatCat: An HMM-Based Method for Unsupervised and Semi-Supervised Learning of Morphology SA Grönroos, S Virpioja, P Smit, M Kurimo Proceedings of COLING 2014, the 25th International Conference on …, 2014 | 95 | 2014 |
| The MeMAD submission to the WMT18 multimodal translation task SA Grönroos, B Huet, M Kurimo, J Laaksonen, B Merialdo, P Pham, ... arXiv preprint arXiv:1808.10802, 2018 | 82 | 2018 |
| Multimodal machine translation through visuals and speech U Sulubacak, O Caglayan, SA Grönroos, A Rouhe, D Elliott, L Specia, ... Machine Translation 34, 97-147, 2020 | 76 | 2020 |
| A comparative study of minimally supervised morphological segmentation T Ruokolainen, O Kohonen, K Sirts, SA Grönroos, M Kurimo, S Virpioja Computational Linguistics 42 (1), 91-120, 2016 | 52 | 2016 |
| The WMT'18 Morpheval test suites for English-Czech, English-German, English-Finnish and Turkish-English F Burlot, Y Scherrer, V Ravishankar, O Bojar, SA Grönroos, M Koponen, ... 3rd Conference on Machine Translation (WMT 18) 2, 550-564, 2018 | 31 | 2018 |
| Lebleu: N-gram-based translation evaluation score for morphologically complex languages S Virpioja, SA Grönroos Proceedings of the Tenth Workshop on Statistical Machine Translation, 411-416, 2015 | 20 | 2015 |
| Morfessor EM+ Prune: Improved subword segmentation with expectation maximization and pruning SA Grönroos, S Virpioja, M Kurimo arXiv preprint arXiv:2003.03131, 2020 | 19 | 2020 |
| Cognate-aware morphological segmentation for multilingual neural translation SA Grönroos, S Virpioja, M Kurimo arXiv preprint arXiv:1808.10791, 2018 | 15 | 2018 |
| Finnish ASR with Deep Transformer Models. A Jain, A Rouhe, SA Grönroos, M Kurimo Interspeech, 3630-3634, 2020 | 14 | 2020 |
| The University of Helsinki and Aalto University submissions to the WMT 2020 news and low-resource translation tasks Y Scherrer, SA Grönroos, S Virpioja Proceedings of the Fifth Conference on Machine Translation, 1129-1138, 2020 | 12 | 2020 |
| Extending hybrid word-character neural machine translation with multi-task learning of morphological analysis SA Grönroos, S Virpioja, M Kurimo Conference on Machine Translation, 296-302, 2017 | 11 | 2017 |
| Democratizing neural machine translation with OPUS-MT J Tiedemann, M Aulamo, D Bakshandaeva, M Boggia, SA Grönroos, ... Language Resources and Evaluation, 1-43, 2023 | 9 | 2023 |
| Low-Resource Active Learning of North Sami Morphological Segmentation SA Grönroos, K Jokinen, K Hiovain, M Kurimo, S Virpioja Septentrio Conference Series, 20-33, 2015 | 8 | 2015 |
| Transfer learning and subword sampling for asymmetric-resource one-to-many neural translation SA Grönroos, S Virpioja, M Kurimo Machine Translation 34 (4), 251-286, 2020 | 6 | 2020 |
| Hybrid morphological segmentation for phrase-based machine translation SA Grönroos, S Virpioja, M Kurimo Proceedings of the First Conference on Machine Translation: Volume 2, Shared …, 2016 | 5 | 2016 |
| Tuning phrase-based segmented translation for a morphologically complex target language SA Grönroos, S Virpioja, M Kurimo Proceedings of the Tenth Workshop on Statistical Machine Translation, 105-111, 2015 | 5 | 2015 |
| North Sámi morphological segmentation with low-resource semi-supervised sequence labeling SA Grönroos, S Virpioja, M Kurimo Proceedings of the Fifth International Workshop on Computational Linguistics …, 2019 | 4 | 2019 |
| Morfessor-enriched features and multilingual training for canonical morphological segmentation A Rouhe, SA Grönroos, S Virpioja, M Creutz, M Kurimo Proceedings of the 19th SIGMORPHON Workshop on Computational Research in …, 2022 | 3 | 2022 |
Mikko KurimoProfessor in Speech and Language Processing, Aalto University, Finland在 aalto.fi 的电子邮件经过验证
