Papers with multimodal translation task

2 papers
Multilingual and Multimodal Learning for Brazilian Portuguese (2022.lrec-1)

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Challenge: Existing models that learn multimodal and multilingual representations perform better in many natural language tasks.
Approach: They use a multimodal and multilingual corpus to test its generalization ability for other languages . they achieve a BLEU score of 51.8 and a METEOR score of 78.0 on the test set .
Outcome: The proposed model outperforms the existing model on a Portuguese-English multimodal translation task.
Cross-lingual Visual Verb Sense Disambiguation (N19-1)

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Challenge: Recent work has shown that visual context improves cross-lingual sense disambiguation for nouns.
Approach: They extend their work to the task of cross-lingual verb sense disambiguation by using a dataset annotated with English, German, and Spanish verbs.
Outcome: The proposed model improves the results of a text-only machine translation system when used for a multimodal translation task.

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