Results 111 to 120 of about 4,356,022 (346)

Learning to Parse and Translate Improves Neural Machine Translation

, 2017
There has been relatively little attention to incorporating linguistic prior to neural machine translation. Much of the previous work was further constrained to considering linguistic prior on the source side.
Cho, Kyunghyun, Eriguchi, Akiko, Tsuruoka, Yoshimasa   +2 more
core   +1 more source

Characterization of WAC interactions with R2TP and TTT chaperone complexes linking glucose and glutamine availability to mTORC1 activity

FEBS Open Bio, EarlyView.
TTT and R2TP chaperone complexes are required for the assembly and activation of mTORC1. WAC directly interacts with components of TTT, R2TP, and mTORC1, and these interactions are affected by the availability of glucose and glutamine, correlating with changes in mTORC1 activity.
Sofía Cabezudo, Natalia Cuervo, Carmen García‐Martín, Andrés López‐Perrote, Clara Reglero, Adrián Maqueda‐Real, Ana González‐Corpas, Marina Serna, Diego Megías, Alejo Efeyan, Solip Park, Oscar Llorca   +11 more
wiley   +1 more source

Unsupervised Statistical Machine Translation [PDF]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018
While modern machine translation has relied on large parallel corpora, a recent line of work has managed to train Neural Machine Translation (NMT) systems from monolingual corpora only (Artetxe et al., 2018c; Lample et al., 2018). Despite the potential of this approach for low-resource settings, existing systems are far behind their supervised ...
Artetxe Zurutuza, Mikel, Labaka Intxauspe, Gorka, Agirre Bengoa, Eneko   +2 more
openaire   +4 more sources

Report on the 2nd MObility for Vesicle research in Europe (MOVE) symposium—2024

FEBS Open Bio, EarlyView.
The 2nd MObility for Vesicle research in Europe (MOVE) Symposium in Belgrade brought over 280 attendees from 28 countries to advance extracellular vesicle (EV) research. Featuring keynotes, presentations, and industry sessions, it covered EV biogenesis, biomarkers, therapies, and manufacturing.
Dorival Mendes Rodrigues‐Junior, Michaela Kocholata, Marilena E. Lekka, Olga Janouskova, Moran Yadid, Maja Kosanovic   +5 more
wiley   +1 more source

A SYSTEMATIC READING IN STATISTICAL TRANSLATION: FROM THE STATISTICAL MACHINE TRANSLATION TO THE NEURAL TRANSLATION MODELS.

Journal of ICT, 2017
Achieving high accuracy in automatic translation tasks has been one of the challenging goals for researchers in the area of machine translation since decades.
Zakaria El Maazouzi, Badr Eddine El Mohajir, Mohammed Al Achhab   +2 more
doaj   +3 more sources

Dual-channel deep graph convolutional neural networks

Frontiers in Artificial Intelligence
The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of various subsequent machine learning tasks.
Zhonglin Ye, Zhonglin Ye, Zhonglin Ye, Zhonglin Ye, Zhuoran Li, Zhuoran Li, Zhuoran Li, Zhuoran Li, Gege Li, Gege Li, Gege Li, Gege Li, Haixing Zhao, Haixing Zhao, Haixing Zhao, Haixing Zhao   +15 more
doaj   +1 more source

Neural machine translation of chemical nomenclature between English and Chinese

Journal of Cheminformatics, 2020
Machine translation of chemical nomenclature has considerable application prospect in chemical text data processing between languages. However, rule based machine translation tools have to face significant complication in rule sets building, especially ...
Tingjun Xu, Weiming Chen, Junhong Zhou, Jingfang Dai, Yingyong Li, Yingli Zhao   +5 more
doaj   +1 more source

A Shared Task on Bandit Learning for Machine Translation

, 2017
We introduce and describe the results of a novel shared task on bandit learning for machine translation. The task was organized jointly by Amazon and Heidelberg University for the first time at the Second Conference on Machine Translation (WMT 2017). The
Danchenko, Pavel, Fürstenau, Hagen, Kreutzer, Julia, Riezler, Stefan, Sokolov, Artem, Sunderland, Kellen, Szymaniak, Witold   +6 more
core   +1 more source

Mitochondria‐associated membranes (MAMs): molecular organization, cellular functions, and their role in health and disease

FEBS Open Bio, EarlyView.
Mitochondria‐associated membranes (MAMs) are contact sites between the endoplasmic reticulum and mitochondria that regulate calcium signaling, lipid metabolism, autophagy, and stress responses. This review outlines their molecular organization, roles in cellular homeostasis, and how dysfunction drives neurodegeneration, metabolic disease, cancer, and ...
Viet Bui, Maryline Santerre, Natalia Shcherbik, Bassel E Sawaya   +3 more
wiley   +1 more source

Overview of molecular signatures of senescence and associated resources: pros and cons

FEBS Open Bio, EarlyView.
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas, Sylvia Vagena, Pavlos Pantelis, Giorgos Theocharous, Russel Petty, Konstantinos Evangelou, Vassilis G. Gorgoulis   +6 more
wiley   +1 more source