This dataset supports the publication: 'Dynamic Transformer for Efficient Machine Translation on Embedded Devices' in '3rd ACM/IEEE Workshop on Machine Learning for CAD (MLCAD'21)'.</span
This is the dataset and tools for reproducing the results of our paper "Program translation using MD...
The Transformer model is a very recent, fast and powerful discovery in neural machine translation. W...
The importance of translation services has become increasingly prominent with the acceleration of ec...
The Transformer architecture is widely used for machine translation tasks. However, its resource-int...
Given a large Transformer model, how can we obtain a small and computationally efficient model which...
Automatic translation from one human language to another using computers, better known as machine tr...
This is the dataset of C, Java, VB and JavaScript examples and translations for the submitted paper ...
This article describes our experiments in neural machine translation using the recent Tensor2Tensor ...
Given a large Transformer model, how can we obtain a small and computationally efficient model which...
With the recent developments in the field of Natural Language Processing, there has been a rise in t...
With the recent developments in the field of Natural Language Processing, there has been a rise in t...
A very hot issue for research and industry is how to effectively integrate machine translation (MT) ...
Progress in the Machine Translation (MT) research community, particularly for statistical approaches...
Fundamentals of Machine Translation technology using Deep language analysis using the traditional "V...
This article describes the process of creation of a statistical machine translation engine specialis...
This is the dataset and tools for reproducing the results of our paper "Program translation using MD...
The Transformer model is a very recent, fast and powerful discovery in neural machine translation. W...
The importance of translation services has become increasingly prominent with the acceleration of ec...
The Transformer architecture is widely used for machine translation tasks. However, its resource-int...
Given a large Transformer model, how can we obtain a small and computationally efficient model which...
Automatic translation from one human language to another using computers, better known as machine tr...
This is the dataset of C, Java, VB and JavaScript examples and translations for the submitted paper ...
This article describes our experiments in neural machine translation using the recent Tensor2Tensor ...
Given a large Transformer model, how can we obtain a small and computationally efficient model which...
With the recent developments in the field of Natural Language Processing, there has been a rise in t...
With the recent developments in the field of Natural Language Processing, there has been a rise in t...
A very hot issue for research and industry is how to effectively integrate machine translation (MT) ...
Progress in the Machine Translation (MT) research community, particularly for statistical approaches...
Fundamentals of Machine Translation technology using Deep language analysis using the traditional "V...
This article describes the process of creation of a statistical machine translation engine specialis...
This is the dataset and tools for reproducing the results of our paper "Program translation using MD...
The Transformer model is a very recent, fast and powerful discovery in neural machine translation. W...
The importance of translation services has become increasingly prominent with the acceleration of ec...
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