Lukas Edman

According to our database, Lukas Edman authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation.

Lukas Edman, Gabriele Sarti, Antonio Toral, Gertjan van Noord, Arianna Bisazza

Trans. Assoc. Comput. Linguistics, 2024

Are BabyLMs Second Language Learners?

Lukas Edman, Lisa Bylinina, Faeze Ghorbanpour, Alexander Fraser

CoRR, 2024

CUTE: Measuring LLMs' Understanding of Their Tokens.

Lukas Edman, Helmut Schmid, Alexander Fraser

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Too Much Information: Keeping Training Simple for BabyLMs.

Lukas Edman, Lisa Bylinina

CoRR, 2023

Are Character-level Translations Worth the Wait? An Extensive Comparison of Character- and Subword-level Models for Machine Translation.

Lukas Edman, Antonio Toral, Gertjan van Noord

CoRR, 2023

LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and Classification.

Konstantin Chernyshev, Ekaterina Garanina, Duygu Bayram, Qiankun Zheng, Lukas Edman

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

2022

Patching Leaks in the Charformer for Efficient Character-Level Generation.

Lukas Edman, Antonio Toral, Gertjan van Noord

CoRR, 2022

RUG-1-Pegasussers at SemEval-2022 Task 3: Data Generation Methods to Improve Recognizing Appropriate Taxonomic Word Relations.

Wessel Poelman, Gijs Danoe, Esther Ploeger, Frank van den Berg, Tommaso Caselli, Lukas Edman

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Subword-Delimited Downsampling for Better Character-Level Translation.

Lukas Edman, Antonio Toral, Gertjan van Noord

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Unsupervised Translation of German-Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language.

Lukas Edman, Ahmet Üstün, Antonio Toral, Gertjan van Noord

Proceedings of the Sixth Conference on Machine Translation, 2021

The Importance of Context in Very Low Resource Language Modeling.

Lukas Edman, Antonio Toral, Gertjan van Noord

Proceedings of the 18th International Conference on Natural Language Processing (ICON 2021), National Institute of Technology Silchar, Silchar, India, December 16, 2021

2020

Machine Translation for English-Inuktitut with Segmentation, Data Acquisition and Pre-Training.

Christian Roest, Lukas Edman, Gosse Minnema, Kevin Kelly, Jennifer Spenader, Antonio Toral

Proceedings of the Fifth Conference on Machine Translation, 2020

Data Selection for Unsupervised Translation of German-Upper Sorbian.

Lukas Edman, Antonio Toral, Gertjan van Noord

Proceedings of the Fifth Conference on Machine Translation, 2020

Low-Resource Unsupervised NMT: Diagnosing the Problem and Providing a Linguistically Motivated Solution.

Lukas Edman, Antonio Toral, Gertjan van Noord

Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2020

2019

Neural Machine Translation for English-Kazakh with Morphological Segmentation and Synthetic Data.

Antonio Toral, Lukas Edman, Galiya Yeshmagambetova, Jennifer Spenader

Proceedings of the Fourth Conference on Machine Translation, 2019