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Transfer learning and subword sampling for asymmetric-resource
  one-to-many neural translation
v1v2 (latest)

Transfer learning and subword sampling for asymmetric-resource one-to-many neural translation

Machine Translation (MT), 2020
8 April 2020
Stig-Arne Gronroos
Sami Virpioja
M. Kurimo
ArXiv (abs)PDFHTML

Papers citing "Transfer learning and subword sampling for asymmetric-resource one-to-many neural translation"

2 / 2 papers shown
SemiAdapt and SemiLoRA: Efficient Domain Adaptation for Transformer-based Low-Resource Language Translation with a Case Study on Irish
SemiAdapt and SemiLoRA: Efficient Domain Adaptation for Transformer-based Low-Resource Language Translation with a Case Study on Irish
Josh McGiff
Nikola S. Nikolov
126
1
0
21 Oct 2025
Dynamic Acoustic Unit Augmentation With BPE-Dropout for Low-Resource
  End-to-End Speech Recognition
Dynamic Acoustic Unit Augmentation With BPE-Dropout for Low-Resource End-to-End Speech RecognitionItalian National Conference on Sensors (INS), 2021
A. Laptev
A. Andrusenko
Ivan Podluzhny
Anton Mitrofanov
Ivan Medennikov
Yuri N. Matveev
VLM
177
15
0
12 Mar 2021
1
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