A comparison between morphological complexity measures: typological data vs. language corpora C Bentz, T Ruzsics, A Koplenig, T Samardzic Proceedings of the workshop on computational linguistics for linguistic …, 2016 | 96 | 2016 |
Encoder-decoder methods for text normalization M Lusetti, T Ruzsics, A Göhring, T Samardžić, E Stark Association for Computational Linguistics, 2018 | 64 | 2018 |
Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection P Makarov, T Ruzsics, S Clematide Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal …, 2017 | 50 | 2017 |
Neural sequence-to-sequence learning of internal word structure T Ruzsics, T Samardzic Proceedings of the 21st conference on computational natural language …, 2017 | 27 | 2017 |
Neural text normalization with adapted decoding and POS features T Ruzsics, M Lusetti, A Göhring, T Samardžić, E Stark Natural Language Engineering 25 (5), 585-605, 2019 | 8 | 2019 |
Stance detection in German news articles L Mascarell, T Ruzsics, C Schneebeli, P Schlattner, L Campanella, ... Proceedings of the Fourth Workshop on Fact Extraction and VERification …, 2021 | 7 | 2021 |
Interpretability for morphological inflection: from character-level predictions to subword-level rules T Ruzsics, O Sozinova, X Gutierrez-Vasques, T Samardzic Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 6 | 2021 |
Multilevel text normalization with sequence-to-sequence networks and multisource learning T Ruzsics, T Samardžić arXiv preprint arXiv:1903.11340, 2019 | 4 | 2019 |