Context Sensitive Neural Lemmatization with Lematus T Bergmanis, S Goldwater North American Chapter of the Association for Computational Linguistics …, 2018 | 41 | 2018 |
Training Data Augmentation for Low-Resource Morphological Inflection T Bergmanis, K Kann, H Schutze, S Goldwater Proceedings of the CoNLL-SIGMORPHON 2017 Shared Task: Universal …, 2017 | 40 | 2017 |
From Segmentation to Analyses: A Probabilistic Model for Unsupervised Morphology Induction T Bergmanis, S Goldwater European Chapter of the Association for Computational Linguistics, 2017 | 13 | 2017 |
Training Data Augmentation for Context-Sensitive Neural Lemmatizer Using Inflection Tables and Raw Text T Bergmanis, S Goldwater Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 7* | 2019 |
Mitigating gender bias in machine translation with target gender annotations T Bergmanis, A Stafanovičs, M Pinnis arXiv preprint arXiv:2010.06203, 2020 | 6 | 2020 |
Methods for morphology learning in low (er)-resource scenarios T Bergmanis The University of Edinburgh, 2020 | 1 | 2020 |
Facilitating Terminology Translation with Target Lemma Annotations T Bergmanis, M Pinnis arXiv preprint arXiv:2101.10035, 2021 | | 2021 |
A Tale of Eight Countries or the EU Council Presidency Translator in Retrospect M Pinnis, T Bergmanis, K Metuzāle, V Šics, A Vasiļevskis, A Vasiļjevs Association for Machine Translation in the Americas, 525--546, 2020 | | 2020 |
Robust Neural Machine Translation: Modeling Orthographic and Interpunctual Variation T Bergmanis, A Stafanovičs, M Pinnis arXiv preprint arXiv:2009.05460, 2020 | | 2020 |