Is it great or terrible? preserving sentiment in neural machine translation of arabic reviews

H Saadany, C Orasan - arXiv preprint arXiv:2010.13814, 2020 - arxiv.org
Since the advent of Neural Machine Translation (NMT) approaches there has been a
tremendous improvement in the quality of automatic translation. However, NMT output still …

BitextEdit: Automatic bitext editing for improved low-resource machine translation

E Briakou, SI Wang, L Zettlemoyer… - arXiv preprint arXiv …, 2021 - arxiv.org
Mined bitexts can contain imperfect translations that yield unreliable training signals for
Neural Machine Translation (NMT). While filtering such pairs out is known to improve final …

Unifying input and output smoothing in neural machine translation

Y Gao, B Liao, H Ney - … of the 28th International Conference on …, 2020 - aclanthology.org
Soft contextualized data augmentation is a recent method that replaces one-hot
representation of words with soft posterior distributions of an external language model …

[引用][C] РОЛЬ СИНТЕТИЧЕСКИХ ДАННЫХ В РАЗВИТИИ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА

АН Рабчевский - … интеллект в решении актуальных социальных и …, 2022 - elibrary.ru
В статье представлено описание синтетических данных, области их применения,
методов генерации, систем генерации синтетических данных, оценки их качества …