[HTML][HTML] Neural machine translation of clinical text: an empirical investigation into multilingual pre-trained language models and transfer-learning

L Han, S Gladkoff, G Erofeev, I Sorokina… - Frontiers in Digital …, 2024 - frontiersin.org
Clinical text and documents contain very rich information and knowledge in healthcare, and
their processing using state-of-the-art language technology becomes very important for …

Neural machine translation of logographic languages using sub-character level information

L Zhang, M Komachi - arXiv preprint arXiv:1809.02694, 2018 - arxiv.org
Recent neural machine translation (NMT) systems have been greatly improved by encoder-
decoder models with attention mechanisms and sub-word units. However, important …

Chinese character decomposition for neural MT with multi-word expressions

L Han, GJF Jones, AF Smeaton, P Bolzoni - arXiv preprint arXiv …, 2021 - arxiv.org
Chinese character decomposition has been used as a feature to enhance Machine
Translation (MT) models, combining radicals into character and word level models. Recent …

High-performance english–chinese machine translation based on GPU-enabled deep neural networks with domain corpus

L Zhao, W Gao, J Fang - Applied Sciences, 2021 - mdpi.com
The ability to automate machine translation has various applications in international
commerce, medicine, travel, education, and text digitization. Due to the different grammar …

Using sub-character level information for neural machine translation of logographic languages

L Zhang, M Komachi - Transactions on Asian and Low-Resource …, 2021 - dl.acm.org
Logographic and alphabetic languages (eg, Chinese vs. English) have different writing
systems linguistically. Languages belonging to the same writing system usually exhibit more …

MultiMWE: Building a multi-lingual multi-word expression (MWE) parallel corpora

L Han, GJF Jones, AF Smeaton - arXiv preprint arXiv:2005.10583, 2020 - arxiv.org
Multi-word expressions (MWEs) are a hot topic in research in natural language processing
(NLP), including topics such as MWE detection, MWE decomposition, and research …

Inference-only sub-character decomposition improves translation of unseen logographic characters

D Saunders, W Feely, B Byrne - arXiv preprint arXiv:2011.06523, 2020 - arxiv.org
Neural Machine Translation (NMT) on logographic source languages struggles when
translatingunseen'characters, which never appear in the training data. One possible …

Oto-kodlayıcı mimarisi kullanarak mermer yüzey anomali tespiti= Marble surface anomaly detection using autoencoder architecture

MY Abdullah - 2024 - acikerisim.sakarya.edu.tr
Mermer, yer kabuğundaki yüksek basınç ve ısı nedeniyle yapısal ve kimyasal dönüşümler
geçiren kireçtaşından oluşan bir tür metamorfik kayadır. Mermer pürüzsüz bir dokuya …

Korean Neural Machine Translation Using Hierarchical Word Structure

J Park, H Zhao - 2020 International Conference on Asian …, 2020 - ieeexplore.ieee.org
Korean neural machine translation may significantly suffer from low-resource issues. We
thus propose an enhancement method that fully exploits the hierarchical Korean word …

[引用][C] 融入汉字笔画序列的神经机器翻译

谭新, 邝少辉, 张龙印, 熊德意 - 厦门大学学报: 自然科学版, 2019