Add to ORKGIn this project, I proposed a set of methods to complete the task of multimodal machine translation, which is to generate a image caption in the target language given the image itself and corresponding image captions in the source language. I completed this task with deep learning techniques
Neural Machine Translation is a newly emerging approach to machine translation which attempts to bui...
Multimodal machine translation involves drawing information from more than one modality (text, audio...
Recent advancements in Deep Learning show that the combination of Convolutional Neural Networks and ...
Multimodality in Machine Translation Jindřich Libovický Traditionally, most natural language process...
Over the past few years, there has been a lot of progress being made in machine translation through ...
Recent work on multimodal machine translation has attempted to address the problem of producing targ...
Typically it is seen that multimodal neural machine translation (MNMT) systems trained on a combinat...
In this paper, we describe our submissions to the WMT17 Multimodal Translation Task. For Task 1 (m...
We introduce a novel multimodal machine translation model that integrates image features modulated b...
In the modern era, image captioning has become one of the most widely required tools. Moreover, ther...
Aquest projecte recull el disseny i implementació d'un sistema de traducció neuronal orientat a reso...
The attention mechanism is an important part of the neural machine translation (NMT) where it was re...
This thesis focuses on proposing and addressing various tasks in the field of vision and language, a...
In this paper, we investigate the effectiveness of training a multimodal neural machine translation ...
With the advancement in deep learning, the consolidation of text classification and image processing...
Neural Machine Translation is a newly emerging approach to machine translation which attempts to bui...
Multimodal machine translation involves drawing information from more than one modality (text, audio...
Recent advancements in Deep Learning show that the combination of Convolutional Neural Networks and ...
Multimodality in Machine Translation Jindřich Libovický Traditionally, most natural language process...
Over the past few years, there has been a lot of progress being made in machine translation through ...
Recent work on multimodal machine translation has attempted to address the problem of producing targ...
Typically it is seen that multimodal neural machine translation (MNMT) systems trained on a combinat...
In this paper, we describe our submissions to the WMT17 Multimodal Translation Task. For Task 1 (m...
We introduce a novel multimodal machine translation model that integrates image features modulated b...
In the modern era, image captioning has become one of the most widely required tools. Moreover, ther...
Aquest projecte recull el disseny i implementació d'un sistema de traducció neuronal orientat a reso...
The attention mechanism is an important part of the neural machine translation (NMT) where it was re...
This thesis focuses on proposing and addressing various tasks in the field of vision and language, a...
In this paper, we investigate the effectiveness of training a multimodal neural machine translation ...
With the advancement in deep learning, the consolidation of text classification and image processing...
Neural Machine Translation is a newly emerging approach to machine translation which attempts to bui...
Multimodal machine translation involves drawing information from more than one modality (text, audio...
Recent advancements in Deep Learning show that the combination of Convolutional Neural Networks and ...