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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 108 papers

TitleStatusHype
A Visually-Grounded Parallel Corpus with Phrase-to-Region Linking—0
CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation—0
CUNI System for the WMT18 Multimodal Translation Task—0
CUNI System for WMT16 Automatic Post-Editing and Multimodal Translation Tasks—0
DCU-UvA Multimodal MT System Report—0
Debiasing Word Embeddings Improves Multimodal Machine Translation—0
Detecting Concrete Visual Tokens for Multimodal Machine Translation—0
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
Ensemble Sequence Level Training for Multimodal MT: OSU-Baidu WMT18 Multimodal Machine Translation System Report—0
Multimodal Neural Machine Translation System for English to Bengali—0
MultiNews: A Web collection of an Aligned Multimodal and Multilingual Corpus—0
NICT-NAIST System for WMT17 Multimodal Translation Task—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
Probing the Need for Visual Context in Multimodal Machine Translation—0
Rakuten’s Participation in WAT 2021: Examining the Effectiveness of Pre-trained Models for Multilingual and Multimodal Machine Translation—0
Sheffield MultiMT: Using Object Posterior Predictions for Multimodal Machine Translation—0
Sheffield Submissions for WMT18 Multimodal Translation Shared Task—0
SHEF-Multimodal: Grounding Machine Translation on Images—0
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All datasetsMulti30KHindi Visual Genome (Challenge Set)Hindi Visual Genome (Test Set)

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