Adversarial Evaluation of Multimodal Machine Translation

EMNLP 2018 Desmond Elliott

The promise of combining language and vision in multimodal machine translation is that systems will produce better translations by leveraging the image data. However, the evidence surrounding whether the images are useful is unconvincing due to inconsistencies between text-similarity metrics and human judgements... (read more)

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