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1
BERTGEN: Multi-task Generation through BERT ...
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BERTGen: Multi-task Generation through BERT ...
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MSVD-Turkish: A Comprehensive Multimodal Dataset for Integrated Vision and Language Research in Turkish ...
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4
Simultaneous Machine Translation with Visual Context ...
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5
Multimodal Machine Translation ; Traduction Automatique Multimodale
Caglayan, Ozan. - : HAL CCSD, 2019
In: https://tel.archives-ouvertes.fr/tel-02309868 ; Computation and Language [cs.CL]. Le Mans Université, 2019. English. ⟨NNT : 2019LEMA1016⟩ (2019)
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NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems
In: ISSN: 1804-0462 ; The Prague Bulletin of Mathematical Linguistics ; https://hal-univ-lemans.archives-ouvertes.fr/hal-01647873 ; The Prague Bulletin of Mathematical Linguistics, Univerzita Karlova v Praze, 2017, 109 (1), ⟨10.1515/pralin-2017-0035⟩ (2017)
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NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems
In: Prague Bulletin of Mathematical Linguistics , Vol 109, Iss 1, Pp 15-28 (2017) (2017)
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8
Multimodal Attention for Neural Machine Translation ...
Abstract: The attention mechanism is an important part of the neural machine translation (NMT) where it was reported to produce richer source representation compared to fixed-length encoding sequence-to-sequence models. Recently, the effectiveness of attention has also been explored in the context of image captioning. In this work, we assess the feasibility of a multimodal attention mechanism that simultaneously focus over an image and its natural language description for generating a description in another language. We train several variants of our proposed attention mechanism on the Multi30k multilingual image captioning dataset. We show that a dedicated attention for each modality achieves up to 1.6 points in BLEU and METEOR compared to a textual NMT baseline. ... : 10 pages, under review COLING 2016 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Neural and Evolutionary Computing cs.NE
URL: https://dx.doi.org/10.48550/arxiv.1609.03976
https://arxiv.org/abs/1609.03976
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