76 citations · 106 across the 17 of their papers we have counts for
3 papers · 1 filter
Improving Fluency of Non-Autoregressive Machine Translation
Zdeněk Kasner, Jindřich Libovický, Jindřich Helcl
Non-autoregressive (nAR) models for machine translation (MT) manifest superior decoding speed when compared to autoregressive (AR) models, at the expense of impaired fluency of the…
Towards Reasonably-Sized Character-Level Transformer NMT by Finetuning Subword Systems
Jindřich Libovický, Alexander Fraser
Applying the Transformer architecture on the character level usually requires very deep architectures that are difficult and slow to train. These problems can be partially overcome…
On the Language Neutrality of Pre-trained Multilingual Representations
Jindřich Libovický, Rudolf Rosa, Alexander Fraser
Multilingual contextual embeddings, such as multilingual BERT and XLM-RoBERTa, have proved useful for many multi-lingual tasks. Previous work probed the cross-linguality of the rep…