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 8190 of 108 papers

TitleStatusHype
CUNI System for WMT16 Automatic Post-Editing and Multimodal Translation Tasks0
DCU-UvA Multimodal MT System Report0
Debiasing Word Embeddings Improves Multimodal Machine Translation0
Detecting Concrete Visual Tokens for Multimodal Machine Translation0
Does Multimodality Help Human and Machine for Translation and Image Captioning?0
Doubly-Attentive Decoder for Multi-modal Neural Machine Translation0
Doubly Attentive Transformer Machine Translation0
Adaptive Fusion Techniques for Multimodal Data0
Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding0
EMMeTT: Efficient Multimodal Machine Translation Training0
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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