Add to ORKGThis paper presents a successful domain adaptation of a general neural machine translation (NMT) system using a bilingual corpus created with captions for images in Wiki-media Commons for the Spanish-Basque and English-Irish pairs
We present an approach to neural machine translation (NMT) that supports multiple domains in a singl...
Neural machine translation (NMT), where neural networks are used to generate translations, has revol...
Neural machine translation (NMT) is often described as ‘data hungry’ as it typically requires large ...
This paper presents a successful domain adaptation of a general neural machine translation (NMT) sys...
This paper presents a successful domain adaptation of a general neural machine translation (NMT) sys...
In this paper we present the ADAPT system built for the Basque to English Low Resource MT Evaluatio...
Multilingual neural machine translation (M-NMT) has recently shown to improve performance of machine...
© LREC 2018 - 11th International Conference on Language Resources and Evaluation. All rights reserve...
In this paper we present the ADAPT system built for the Basque to English Low Resource MT Evaluation...
This paper describes the ADAPT Centre’s submissions to the WMT20 Biomedical Translation Shared Task ...
In this paper, we translate the glosses in the English WordNet based on the expand approach for impr...
With the advent of deep neural networks in recent years, Neural Machine Translation (NMT) systems ha...
We describe the system developed by the team of the National University of Singa-pore for English to...
Machine Learning has revolutionized education by offering numerous practical applications. One such ...
Some natural languages belong to the same family or share similar syntactic and/or semantic regulari...
We present an approach to neural machine translation (NMT) that supports multiple domains in a singl...
Neural machine translation (NMT), where neural networks are used to generate translations, has revol...
Neural machine translation (NMT) is often described as ‘data hungry’ as it typically requires large ...
This paper presents a successful domain adaptation of a general neural machine translation (NMT) sys...
This paper presents a successful domain adaptation of a general neural machine translation (NMT) sys...
In this paper we present the ADAPT system built for the Basque to English Low Resource MT Evaluatio...
Multilingual neural machine translation (M-NMT) has recently shown to improve performance of machine...
© LREC 2018 - 11th International Conference on Language Resources and Evaluation. All rights reserve...
In this paper we present the ADAPT system built for the Basque to English Low Resource MT Evaluation...
This paper describes the ADAPT Centre’s submissions to the WMT20 Biomedical Translation Shared Task ...
In this paper, we translate the glosses in the English WordNet based on the expand approach for impr...
With the advent of deep neural networks in recent years, Neural Machine Translation (NMT) systems ha...
We describe the system developed by the team of the National University of Singa-pore for English to...
Machine Learning has revolutionized education by offering numerous practical applications. One such ...
Some natural languages belong to the same family or share similar syntactic and/or semantic regulari...
We present an approach to neural machine translation (NMT) that supports multiple domains in a singl...
Neural machine translation (NMT), where neural networks are used to generate translations, has revol...
Neural machine translation (NMT) is often described as ‘data hungry’ as it typically requires large ...