Results 111 to 120 of about 53,972 (305)

Contextual Handling in Neural Machine Translation: Look Behind, Ahead and on Both Sides [PDF]

, 2018
A salient feature of Neural Machine Translation (NMT) is the end-to-end nature of training employed, eschewing the need of separate components to model different linguistic phenomena. Rather, an NMT model learns to translate individual sentences from the
Agrawal, Ruchit, Negri, Matteo, Marco Turchi, Matteo Negri, Ruchit Agrawal, Turchi, Marco   +5 more
core  

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Neural Machine Translation from Simplified Translations

CoRR, 2016
Submitted to EACL 2017 Short ...
Josep Maria Crego, Jean Senellart
openaire   +2 more sources

Multi-Domain Neural Machine Translation [PDF]

, 2018
We present an approach to neural machine translation (NMT) that supports multiple domains in a single model and allows switching between the domains when translating.
Tars, Sander, Fishel, Mark
core  

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

MTIL2017: Machine Translation Using Recurrent Neural Network on Statistical Machine Translation

Journal of Intelligent Systems, 2019
Machine translation (MT) is the automatic translation of the source language to its target language by a computer system. In the current paper, we propose an approach of using recurrent neural networks (RNNs) over traditional statistical MT (SMT).
Mahata Sainik Kumar, Das Dipankar, Bandyopadhyay Sivaji   +2 more
doaj   +1 more source

The Helsinki Neural Machine Translation System [PDF]

, 2017
We introduce the Helsinki Neural Machine Translation system (HNMT) and how it is applied in the news translation task at WMT 2017, where it ranked first in both the human and automatic evaluations for English–Finnish.
Yves Scherrer, Tang, Gongbo, Robert Östling, Gongbo Tang, Östling, Robert, Jörg Tiedemann, Tommi Nieminen, Tiedemann, Jörg, Nieminen, Tommi, Scherrer, Yves   +9 more
core   +1 more source

Mechanoluminescent HOF Nanotransducers Enabled Sono‐Optogenetics in Parkinsonian Rats

Advanced Functional Materials, EarlyView.
We present a mechanoluminescent system utilizing porous hydrogen‐bonded organic frameworks (HOFs) as a toolkit for focused ultrasound‐triggered, non‐invasive light delivery to the deep brain in rats. This approach enables the specific activation of PV‐GPe neurons in dopamine‐depleted Parkinson's disease rat models, resulting in a comparable alleviation
Wenliang Wang, Ilya Pyatnitskiy, Yanshu Shi, Kai Wing Kevin Tang, Yi Xie, Sihan Yu, Thomas Wynn, Xiangping Liu, Ju‐Chun Hsieh, Jinmo Jeong, Weilong He, Brinkley Artman, Anakaren Romero Lozano, Xi Shi, Arjun Sangani, Lief E Fenno, Samantha Santacruz, Banglin Chen, Huiliang Wang   +18 more
wiley   +1 more source

Moving beyond parallel data for neural machine translation [PDF]

, 2019
The goal of neural machine translation (NMT) is to build an end-to-end system that automatically translates sentences from the source language to the target language.
Currey, Anna
core  

Thermally Pre‐Formed Reconfigurable Resistive Random‐Access Memory Crossbar Arrays: A Dual‐Mode Platform for Robust Physically Unclonable Functions and In‐Memory Computing

Advanced Functional Materials, EarlyView.
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon, Taewon Lee, Dohyeong Kim, Sungmin Hwang, Sungjoon Kim   +4 more
wiley   +1 more source