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Lukas Edman
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Machine Translation for English--Inuktitut with Segmentation, Data Acquisition and Pre-Training
C Roest, L Edman, G Minnema, K Kelly, J Spenader, A Toral
Fifth Conference on Machine Translation, 274-281, 2020
132020
Neural machine translation for English–Kazakh with morphological segmentation and synthetic data
AT Ruiz, L Edman, J Spenader, G Yeshmagambetova
Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019
112019
Low-resource unsupervised NMT: Diagnosing the problem and providing a linguistically motivated solution
L Edman, AT Ruiz, G van Noord
22nd Annual Conference of the European Association for Machine Translation …, 2020
92020
Unsupervised Translation of German--Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language
L Edman, A Üstün, A Toral, G van Noord
arXiv preprint arXiv:2109.12012, 2021
72021
Subword-delimited downsampling for better character-level translation
L Edman, A Toral, G van Noord
arXiv preprint arXiv:2212.01304, 2022
42022
Data Selection for Unsupervised Translation of German--Upper Sorbian
L Edman, A Toral, G van Noord
Fifth Conference on Machine Translation, 1099-1103, 2020
32020
The Little Data That Could: Making the Most of Low-Resource Natural Language Processing
L Edman
12024
Too much information: Keeping training simple for BabyLMs
L Edman, L Bylinina
arXiv preprint arXiv:2311.01955, 2023
12023
LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and Classification
K Chernyshev, E Garanina, D Bayram, Q Zheng, L Edman
arXiv preprint arXiv:2306.05075, 2023
12023
Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation
L Edman, G Sarti, A Toral, G van Noord, A Bisazza
arXiv preprint arXiv:2302.14220, 2023
12023
Are Character-level Translations Worth the Wait? An Extensive Comparison of Character-and Subword-level Models for Machine Translation
L Edman, A Toral, G van Noord
arXiv e-prints, arXiv: 2302.14220, 2023
12023
Patching leaks in the charformer for efficient character-level generation
L Edman, A Toral, G van Noord
arXiv preprint arXiv:2205.14086, 2022
12022
The Importance of Context in Very Low Resource Language Modeling
L Edman, A Toral, G van Noord
arXiv preprint arXiv:2205.04810, 2022
12022
RUG-1-pegasussers at SemEval-2022 Task 3: Data generation methods to improve recognizing appropriate taxonomic word relations
F Van Den Berg, G Danoe, E Ploeger, W Poelman, L Edman, T Caselli
16th International Workshop on Semantic Evaluation, SemEval 2022, 247-254, 2022
12022
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Articles 1–14