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 81–90 of 108 papers

TitleStatusHype
TMU Japanese-English Multimodal Machine Translation System for WAT 2020—0
Understanding the Effect of Textual Adversaries in Multimodal Machine Translation—0
Transformer-based Cascaded Multimodal Speech Translation—0
Multilingual Multimodal Machine Translation for Dravidian Languages utilizing Phonetic Transcription—0
Multimodal Machine Translation through Visuals and Speech—0
Multimodal Machine Translation with Reinforcement Learning—0
Multimodal Machine Translation with Visual Scene Graph Pruning—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
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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