Debiasing Word Embeddings Improves Multimodal Machine Translation

WS 2019 Tosho HirasawaMamoru Komachi

In recent years, pretrained word embeddings have proved useful for multimodal neural machine translation (NMT) models to address the shortage of available datasets. However, the integration of pretrained word embeddings has not yet been explored extensively... (read more)

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