Domain adaptation and multi-domain adaptation for neural machine translation: A survey
D Saunders - Journal of Artificial Intelligence Research, 2022 - jair.org
The development of deep learning techniques has allowed Neural Machine Translation
(NMT) models to become extremely powerful, given sufficient training data and training time …
(NMT) models to become extremely powerful, given sufficient training data and training time …
Automatic Short Answer Grading using Text-to-Text Transfer Transformer Model
S Haller - 2020 - essay.utwente.nl
We explore in this study the effects of multi-task training and domain adaptation on
Automatic Short Answer Grading (ASAG) using the text-to-text transfer transformer model …
Automatic Short Answer Grading (ASAG) using the text-to-text transfer transformer model …
Zero-Shot Cross-Lingual Domain Adaptation for Neural Machine Translation: Exploring The Interplay Between Language And Domain Transferability
L Shahnazaryan - 2024 - diva-portal.org
Within the field of neural machine translation (NMT), transfer learning and domain
adaptation techniques have emerged as central solutions to overcome the data scarcity …
adaptation techniques have emerged as central solutions to overcome the data scarcity …
[PDF][PDF] Breaking Language Barriers: Enhancing Multilingual Representation for Sentence Alignment and Translation
Z Mao - 2024 - repository.kulib.kyoto-u.ac.jp
In a diverse linguistic landscape where over 7,100 languages are spoken, vast swathes of
digital content remain isolated within language silos, creating significant barriers to global …
digital content remain isolated within language silos, creating significant barriers to global …