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 4150 of 108 papers

TitleStatusHype
Florenz: Scaling Laws for Systematic Generalization in Vision-Language Models0
Generalization algorithm of multimodal pre-training model based on graph-text self-supervised training0
Hindi Visual Genome: A Dataset for Multimodal English-to-Hindi Machine Translation0
Generative Imagination Elevates Machine Translation0
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation0
Good for Misconceived Reasons: Revisiting Neural Multimodal Machine Translation0
Grounded Word Sense Translation0
Gumbel-Attention for Multi-modal Machine Translation0
Findings of the 2018 Conference on Machine Translation (WMT18)0
Findings of the 2017 Conference on Machine Translation (WMT17)0
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Benchmark Results

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