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ORCIDLukas Edman
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2020 – today
- 2024
[j1]Lukas Edman, Gabriele Sarti
, Antonio Toral, Gertjan van Noord, Arianna Bisazza:
Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation. Trans. Assoc. Comput. Linguistics 12: 392-410 (2024)- [c10]Lukas Edman, Helmut Schmid, Alexander Fraser:
CUTE: Measuring LLMs' Understanding of Their Tokens. EMNLP 2024: 3017-3026 - [i8]Lukas Edman, Helmut Schmid, Alexander Fraser:
CUTE: Measuring LLMs' Understanding of Their Tokens. CoRR abs/2409.15452 (2024) - 2023
- [c9]Konstantin Chernyshev, Ekaterina Garanina, Duygu Bayram, Qiankun Zheng, Lukas Edman:
LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and Classification. SemEval@ACL 2023: 1573-1581 - [i7]Lukas Edman, Antonio Toral, Gertjan van Noord:
Are Character-level Translations Worth the Wait? An Extensive Comparison of Character- and Subword-level Models for Machine Translation. CoRR abs/2302.14220 (2023) - [i6]Konstantin Chernyshev, Ekaterina Garanina, Duygu Bayram, Qiankun Zheng, Lukas Edman:
LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and Classification. CoRR abs/2306.05075 (2023) - [i5]Lukas Edman, Lisa Bylinina:
Too Much Information: Keeping Training Simple for BabyLMs. CoRR abs/2311.01955 (2023) - 2022
- [c8]Lukas Edman, Antonio Toral, Gertjan van Noord:
Subword-Delimited Downsampling for Better Character-Level Translation. EMNLP (Findings) 2022: 981-992 - [c7]Wessel Poelman, Gijs Danoe, Esther Ploeger, Frank van den Berg, Tommaso Caselli, Lukas Edman:
RUG-1-Pegasussers at SemEval-2022 Task 3: Data Generation Methods to Improve Recognizing Appropriate Taxonomic Word Relations. SemEval@NAACL 2022: 247-254 - [i4]Lukas Edman, Antonio Toral, Gertjan van Noord:
The Importance of Context in Very Low Resource Language Modeling. CoRR abs/2205.04810 (2022) - [i3]Lukas Edman, Antonio Toral, Gertjan van Noord:
Patching Leaks in the Charformer for Efficient Character-Level Generation. CoRR abs/2205.14086 (2022) - [i2]Lukas Edman, Antonio Toral, Gertjan van Noord:
Subword-Delimited Downsampling for Better Character-Level Translation. CoRR abs/2212.01304 (2022) - 2021
- [c6]Lukas Edman, Antonio Toral, Gertjan van Noord:
The Importance of Context in Very Low Resource Language Modeling. ICON 2021: 86-92 - [c5]Lukas Edman, Ahmet Üstün, Antonio Toral, Gertjan van Noord:
Unsupervised Translation of German-Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language. WMT@EMNLP 2021: 982-988 - [i1]Lukas Edman, Ahmet Üstün, Antonio Toral, Gertjan van Noord:
Unsupervised Translation of German-Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language. CoRR abs/2109.12012 (2021) - 2020
- [c4]Lukas Edman, Antonio Toral, Gertjan van Noord:
Low-Resource Unsupervised NMT: Diagnosing the Problem and Providing a Linguistically Motivated Solution. EAMT 2020: 81-90 - [c3]Christian Roest, Lukas Edman, Gosse Minnema, Kevin Kelly, Jennifer Spenader, Antonio Toral:
Machine Translation for English-Inuktitut with Segmentation, Data Acquisition and Pre-Training. WMT@EMNLP 2020: 274-281 - [c2]Lukas Edman, Antonio Toral, Gertjan van Noord:
Data Selection for Unsupervised Translation of German-Upper Sorbian. WMT@EMNLP 2020: 1099-1103
2010 – 2019
- 2019
- [c1]Antonio Toral, Lukas Edman, Galiya Yeshmagambetova, Jennifer Spenader:
Neural Machine Translation for English-Kazakh with Morphological Segmentation and Synthetic Data. WMT (2) 2019: 386-392
Coauthor Index
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