Recently, there has been a surge in research in multimodal machine
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We present BERTGEN, a novel generative, decoder-only model which extends...
This paper addresses the problem of simultaneous machine translation (Si...
Pre-trained language models have been shown to improve performance in ma...
Automatic generation of video descriptions in natural language, also cal...
Automatic evaluation of language generation systems is a well-studied pr...
Simultaneous machine translation (SiMT) aims to translate a continuous i...
Multimodal machine translation involves drawing information from more th...
This paper describes the cascaded multimodal speech translation systems
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This paper describes the Imperial College London team's submission to th...
Current work on multimodal machine translation (MMT) has suggested that ...
Humans are capable of processing speech by making use of multiple sensor...
In this paper, we introduce How2, a multimodal collection of instruction...
This paper describes the multimodal Neural Machine Translation systems
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This paper describes LIUM submissions to WMT17 News Translation Task for...
This paper describes the monomodal and multimodal Neural Machine Transla...
Computer science offers a large set of tools for prototyping, writing,
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In this paper, we present nmtpy, a flexible Python toolkit based on Thea...
The attention mechanism is an important part of the neural machine
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This paper presents the systems developed by LIUM and CVC for the WMT16
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