Unlimited vocabulary speech recognition with morph language models applied to Finnish T Hirsimäki, M Creutz, V Siivola, M Kurimo, S Virpioja, J Pylkkönen Computer Speech & Language 20 (4), 515-541, 2006 | 188 | 2006 |
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 |
Language identification of short text segments with n-gram models T Vatanen, JJ Väyrynen, S Virpioja Proceedings of the Seventh conference on International Language Resources …, 2010 | 129 | 2010 |
Morphology-aware statistical machine translation based on morphs induced in an unsupervised manner S Virpioja, J Väyrynen, MJP Creutz, M Sadeniemi Machine Translation Summit XI, 491-498, 2007 | 115 | 2007 |
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 |
Painless Semi-Supervised Morphological Segmentation using Conditional Random Fields T Ruokolainen, O Kohonen, S Virpioja, M Kurimo EACL 2014, 84-89, 2014 | 94* | 2014 |
Morpho challenge 2005-2010: Evaluations and results M Kurimo, S Virpioja, V Turunen, K Lagus Proceedings of the 11th Meeting of the ACL Special Interest Group on …, 2010 | 88 | 2010 |
Semi-supervised learning of concatenative morphology O Kohonen, S Virpioja, K Lagus Proceedings of the 11th Meeting of the ACL Special Interest Group on …, 2010 | 86 | 2010 |
On Growing and Pruning Kneser–Ney Smoothed-Gram Models V Siivola, T Hirsimaki, S Virpioja IEEE Transactions on Audio, Speech, and Language Processing 15 (5), 1617-1624, 2007 | 86 | 2007 |
Supervised morphological segmentation in a low-resource learning setting using conditional random fields T Ruokolainen, O Kohonen, S Virpioja, M Kurimo CoNLL-2013, 29-37, 2013 | 76 | 2013 |
Overview and results of Morpho Challenge 2009 M Kurimo, S Virpioja, VT Turunen, GW Blackwood, W Byrne Multilingual Information Access Evaluation I. Text Retrieval Experiments …, 2010 | 71 | 2010 |
Empirical Comparison of Evaluation Methods for Unsupervised Learning of Morphology S Virpioja, VT Turunen, S Spiegler, O Kohonen, M Kurimo Traitement Automatique des Langues 52 (2), 49-90, 2011 | 62 | 2011 |
Improved subword modeling for WFST-based speech recognition P Smit, S Virpioja, M Kurimo Interspeech, 2551-2555, 2017 | 58 | 2017 |
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 |
Advances in subword-based HMM-DNN speech recognition across languages P Smit, S Virpioja, M Kurimo Computer Speech & Language 66, 101158, 2021 | 51 | 2021 |
Minimum Bayes risk combination of translation hypotheses from alternative morphological decompositions A De Gispert, S Virpioja, M Kurimo, B Byrne Proceedings of Human Language Technologies: The 2009 Annual Conference of …, 2009 | 43 | 2009 |
Automatic speech recognition with very large conversational finnish and estonian vocabularies S Enarvi, P Smit, S Virpioja, M Kurimo IEEE/ACM Transactions on audio, speech, and language processing 25 (11 …, 2017 | 39 | 2017 |
OpusFilter: A configurable parallel corpus filtering toolbox M Aulamo, S Virpioja, J Tiedemann 2020 Annual Conference of the Association for Computational Linguistics, 150-156, 2020 | 38 | 2020 |
Morfessor and hutmegs: Unsupervised morpheme segmentation for highly-inflecting and compounding languages M Creutz, K Lagus, K Lindén, S Virpioja | 36 | 2005 |