An empirical study of multilingual and low-resource spoken term detection using deep neural networks

2014 ◽  
Author(s):  
Jie Li ◽  
Xiaorui Wang ◽  
Bo Xu
Keyword(s):  
Neural Networks ◽  
Empirical Study ◽  
Deep Neural Networks ◽  
Spoken Term Detection ◽  
Low Resource

scholarly journals Neural Machine Translation between Vietnamese and English: an Empirical Study

2019 ◽  
Vol 35 (2) ◽  
pp. 147-166 ◽  
Author(s):  
Hong-Hai Phan-Vu ◽  
Viet Trung Tran ◽  
Van Nam Nguyen ◽  
Hoang Vu Dang ◽  
Phan Thuan Do
Keyword(s):  
Neural Networks ◽  
Empirical Study ◽  
Machine Translation ◽  
Deep Neural Networks ◽  
State Of The Art ◽  
Neural Models ◽  
Neural Machine Translation ◽  
Parallel Corpora ◽  
Parameter Search ◽  
Popular Language

Machine translation is shifting to an end-to-end approach based on deep neural networks. The state of the art achieves impressive results for popular language pairs such as English - French or English - Chinese. However for English - Vietnamese the shortage of parallel corpora and expensive hyper-parameter search present practical challenges to neural-based approaches. This paper highlights our efforts on improving English-Vietnamese translations in two directions: (1) Building the largest open Vietnamese - English corpus to date, and (2) Extensive experiments with the latest neural models to achieve the highest BLEU scores. Our experiments provide practical examples of effectively employing different neural machine translation models with low-resource language pairs.

An Empirical Study of Deep Neural Networks for Glioma Detection from MRI Sequences

2020 ◽  
pp. 113-125
Author(s):  
Matthieu Coupet ◽  
Thierry Urruty ◽  
Teerapong Leelanupab ◽  
Mathieu Naudin ◽  
Pascal Bourdon ◽  
...  
Keyword(s):  
Neural Networks ◽  
Empirical Study ◽  
Deep Neural Networks ◽  
Mri Sequences
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