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Multimodal machine translation involves drawing information from more than one modality (text, audio, and visuals), and is an emerging subject within the machine translation community. In MeMAD, multimodal translation is of particular interest in facilitating cross-lingual multimodal content retrieval, and is one of the main focuses of WP4. Though multimodal machine translation efforts have been emerging since the early 1990s, there has not been research on a large scale until the last decade.doi:10.5281/zenodo.3690761 fatcat:n3b34ooubfayxphgyf6bli6bya