Add to ORKGMMT is a new open source machine translation software specifically addressing the needs of the translation industry. In this paper we describe its overall architecture and provide details about its major components. We report performance results on a multi-domain benchmark based on public data, on two translation directions, by comparing MMT against state-of-theart commercial and research phrase-based and neural MT systems
While there is a large body of literature on machine translation there is very little known about th...
This article reports a multifaceted comparison between statistical and neural machine translation (...
The performance of machine translation technology after 50 years of development leaves much to be de...
This short presentation introduces ModernMT: an open-source project that integrates real-time adapti...
This article presents the results of the research project ProjecTA, which attempts to bring machine ...
While Neural Machine Translation (NMT) technology has been around for a few years now in research an...
This paper discusses neural machine translation (NMT), a new paradigm in the MT field, comparing th...
The interest of LSP and companies in neural machine translation solutions is growing worldwide and i...
The last few years have witnessed a surge in the interest of a new machine translation paradigm: neu...
[EN] Machine Translation (MT) is one of the most active areas in Artificial Intelligence, particula...
Information is increasingly global, which brings with it the growth in a non-English speaking public...
Learning Machine Translation is a collection of papers on using machine learning in machine translat...
Neural Machine Translation is the primary algorithm used in industry to perform machine translation....
Machine translation (MT) refers to the technology that can automatically translate contents in one l...
Neural machine translation (NMT) is one of the success stories of deep learning and artificial intel...
While there is a large body of literature on machine translation there is very little known about th...
This article reports a multifaceted comparison between statistical and neural machine translation (...
The performance of machine translation technology after 50 years of development leaves much to be de...
This short presentation introduces ModernMT: an open-source project that integrates real-time adapti...
This article presents the results of the research project ProjecTA, which attempts to bring machine ...
While Neural Machine Translation (NMT) technology has been around for a few years now in research an...
This paper discusses neural machine translation (NMT), a new paradigm in the MT field, comparing th...
The interest of LSP and companies in neural machine translation solutions is growing worldwide and i...
The last few years have witnessed a surge in the interest of a new machine translation paradigm: neu...
[EN] Machine Translation (MT) is one of the most active areas in Artificial Intelligence, particula...
Information is increasingly global, which brings with it the growth in a non-English speaking public...
Learning Machine Translation is a collection of papers on using machine learning in machine translat...
Neural Machine Translation is the primary algorithm used in industry to perform machine translation....
Machine translation (MT) refers to the technology that can automatically translate contents in one l...
Neural machine translation (NMT) is one of the success stories of deep learning and artificial intel...
While there is a large body of literature on machine translation there is very little known about th...
This article reports a multifaceted comparison between statistical and neural machine translation (...
The performance of machine translation technology after 50 years of development leaves much to be de...