SOTAVerified

Multimodal Machine Translation

Multimodal machine translation is the task of doing machine translation with multiple data sources - for example, translating "a bird is flying over water" + an image of a bird over water to German text.

( Image credit: Findings of the Third Shared Task on Multimodal Machine Translation )

Papers

Showing 61–70 of 108 papers

TitleStatusHype
Doubly-Attentive Decoder for Multi-modal Neural Machine Translation—0
Doubly Attentive Transformer Machine Translation—0
Adaptive Fusion Techniques for Multimodal Data—0
Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding—0
EMMeTT: Efficient Multimodal Machine Translation Training—0
NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems—0
On Leveraging the Visual Modality for Neural Machine Translation—0
On Vision Features in Multimodal Machine Translation—0
OSU Multimodal Machine Translation System Report—0
Probing Representations Learned by Multimodal Recurrent and Transformer Models—0
Show:102550
← PrevPage 7 of 11Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1delMeteor (EN-FR)74.6—Unverified
2ERNIE-UniX2BLEU (EN-DE)49.3—Unverified
3IKD-MMTBLEU (EN-DE)41.28—Unverified
4DCCNBLEU (EN-DE)39.7—Unverified
5CaglayanBLEU (EN-DE)39.4—Unverified
6Gumbel-Attention MMTBLEU (EN-DE)39.2—Unverified
7Multimodal TransformerBLEU (EN-DE)38.7—Unverified
8ImagiTBLEU (EN-DE)38.4—Unverified
9del+objBLEU (EN-DE)38—Unverified
10VMMTFBLEU (EN-DE)37.6—Unverified
#ModelMetricClaimedVerifiedStatus
1ViTABLEU (EN-HI)51.6—Unverified
#ModelMetricClaimedVerifiedStatus
1ViTABLEU (EN-HI)44.6—Unverified