Results 101 to 110 of about 240,752 (266)

Factored Neural Machine Translation

, 2016
We present a new approach for neural machine translation (NMT) using the morphological and grammatical decomposition of the words (factors) in the output side of the neural network. This architecture addresses two main problems occurring in MT, namely dealing with a large target language vocabulary and the out of vocabulary (OOV) words. By the means of
García-Martínez, Mercedes, Barrault, Loïc, Bougares, Fethi   +2 more
openaire   +2 more sources

Design Strategies and Emerging Applications of High‐Performance Flexible Piezoresistive Pressure Sensors

Advanced Functional Materials, EarlyView.
Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo, Artur Ciesielski, Paolo Samorì   +2 more
wiley   +1 more source

Chinese-English machine translation model based on transfer learning and self-attention

Journal of Applied Science and Engineering
With the continuous development of machine learning and neural networks, neural machine translation (NMT) has been widely used due to its strong translation ability.
Shu Ma
doaj   +1 more source

Neural Machine Translation for Indian Languages

Journal of Intelligent Systems, 2019
Machine Translation bridges communication barriers and eases interaction among people having different linguistic backgrounds. Machine Translation mechanisms exploit a range of techniques and linguistic resources for translation prediction.
Pathak Amarnath, Pakray Partha
doaj   +1 more source

XNMT: The eXtensible Neural Machine Translation Toolkit

, 2018
This paper describes XNMT, the eXtensible Neural Machine Translation toolkit. XNMT distin- guishes itself from other open-source NMT toolkits by its focus on modular code design, with the purpose of enabling fast iteration in research and replicable ...
Arthur, Philip, Felix, Matthieu, Godard, Pierre, Hewitt, John, Matthews, Austin, Neubig, Graham, Padmanabhan, Sarguna, Qi, Ye, Riad, Rachid, Sachan, Devendra Singh, Sperber, Matthias, Wang, Liming, Wang, Xinyi   +12 more
core  

Adversarial Neural Machine Translation

, 2017
In this paper, we study a new learning paradigm for Neural Machine Translation (NMT). Instead of maximizing the likelihood of the human translation as in previous works, we minimize the distinction between human translation and the translation given by an NMT model. To achieve this goal, inspired by the recent success of generative adversarial networks
Wu, Lijun, Xia, Yingce, Zhao, Li, Tian, Fei, Qin, Tao, Lai, Jianhuang, Liu, Tie-Yan   +6 more
openaire   +2 more sources

Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity

Advanced Functional Materials, EarlyView.
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen, Zheyuan Miao, Gary Tom, Austin H. Cheng, Elizaveta Gusarova, Benjamen Zondag, Tianyi Wu, Dianoosh Kalhori, Boris Hinz, Milad Abolhasani, Alán Aspuru‐Guzik, Eugenia Kumacheva   +11 more
wiley   +1 more source

Lysosome‐Acidifying Nanoparticles Rescue A30P α‐Synuclein Induced Neuronal Death in Cellular and Drosophila Models of Parkinson's Disease

Advanced Healthcare Materials, EarlyView.
Lysosome‐targeted acidic nanoparticles based on a biodegradable poly(ethylene tetrafluorosuccinate‐co‐succinate) copolymer are engineered to restore impaired lysosomal acidification through pH‐responsive intracellular degradation. Localized acid release enhances autophagic proteolysis, reduces α‐synuclein accumulation, and preserves dopaminergic neuron
Chih Hung Lo, Mengda Ren, Gavin Wen Zhao Loi, Eka Norfaishanty Saipuljumri, Jonathan Indajang, Kah Leong Lim, Jialiu Zeng   +6 more
wiley   +1 more source

Pre-Translation for Neural Machine Translation

, 2016
Recently, the development of neural machine translation (NMT) has significantly improved the translation quality of automatic machine translation. While most sentences are more accurate and fluent than translations by statistical machine translation (SMT)-based systems, in some cases, the NMT system produces translations that have a completely ...
Niehues, Jan, Cho, Eunah, Ha, Thanh-Le, Waibel, Alex   +3 more
openaire   +2 more sources

Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling

Advanced Healthcare Materials, EarlyView.
Emerging advances in three‐dimensional bioprinting and computational modeling are reshaping cardiovascular (CV) research by enabling more realistic, patient‐specific tissue platforms. This review surveys cutting‐edge approaches that merge biomimetic CV constructs with computational simulations to overcome the limitations of traditional models, improve ...
Tanmay Mukherjee, Mehdi Salar Amoli, Sarah Rezapourdamanab, Lama Rita El Shammas, Martin L. Tomov, Emilio A. Mendiola, Vahid Serpooshan, Reza Avazmohammadi   +7 more
wiley   +1 more source