94 citations · 98 across the 8 of their papers we have counts for
8 papers
Subword-Delimited Downsampling for Better Character-Level Translation
Lukas Edman, Antonio Toral, Gertjan van Noord
Subword-level models have been the dominant paradigm in NLP. However, character-level models have the benefit of seeing each character individually, providing the model with more d…
Patching Leaks in the Charformer for Efficient Character-Level Generation
Lukas Edman, Antonio Toral, Gertjan van Noord
Character-based representations have important advantages over subword-based ones for morphologically rich languages. They come with increased robustness to noisy input and do not…
The Importance of Context in Very Low Resource Language Modeling
Lukas Edman, Antonio Toral, Gertjan van Noord
This paper investigates very low resource language model pretraining, when less than 100 thousand sentences are available. We find that, in very low resource scenarios, statistical…
Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfer
Huiyuan Lai, Jiali Mao, Antonio Toral +1
Although text style transfer has witnessed rapid development in recent years, there is as yet no established standard for evaluation, which is performed using several automatic met…
Creativity in translation: machine translation as a constraint for literary texts
Ana Guerberof Arenas, Antonio Toral
This article presents the results of a study involving the translation of a short story by Kurt Vonnegut from English to Catalan and Dutch using three modalities: machine-translati…
Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer
Huiyuan Lai, Antonio Toral, Malvina Nissim
We exploit the pre-trained seq2seq model mBART for multilingual text style transfer. Using machine translated data as well as gold aligned English sentences yields state-of-the-art…