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Transfer-based machine translation

Known as: Deep transfer, Transfer approach 
Transfer-based machine translation is a type of machine translation (MT). It is currently one of the most widely used methods of machine translation… 
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Papers overview

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Highly Cited
2019
Highly Cited
2019
As the application of deep learning has expanded to real-world problems with insufficient volume of training data, transfer… 
Highly Cited
2018
Highly Cited
2018
In this paper, we study deep transfer learning as a way of overcoming object recognition challenges encountered in the field of… 
Highly Cited
2018
Highly Cited
2018
Given a random pair of images, an arbitrary style transfer method extracts the feel from the reference image to synthesize an… 
Highly Cited
2016
Highly Cited
2016
Research in emotion recognition seeks to develop insights into the variances of features of emotion in one common domain. However… 
Highly Cited
2013
Highly Cited
2013
In this study a method for propagating the hydrological model uncertainty in discharge predictions of un-gauged Mediterranean… 
Review
2010
Review
2010
Purpose – This paper aims to focus on the relationships between the levels of knowledge and the type of knowledge transfer… 
Highly Cited
2005
Highly Cited
2005
Obtaining ground truth for classification of remotely sensed data is time consuming and expensive, resulting in poorly… 
Highly Cited
2003
Highly Cited
2003
A benefit transfer approach to recreationeconomic valuation using meta-analysis isexamined. Since the meta- regression modeltakes… 
Review
1996
Review
1996
Abstract This article presents an experiment designed to test the reliability of the benefit function transfer approach using… 
Highly Cited
1995
Highly Cited
1995
How the concept evolved Granting authority's perspective Concessionaire's perspective Funder's perspective Financial engineering…