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Multimodal Machine Translation with Embedding Prediction
[article]
2019
arXiv
pre-print
Multimodal machine translation is an attractive application of neural machine translation (NMT). It helps computers to deeply understand visual objects and their relations with natural languages. However, multimodal NMT systems suffer from a shortage of available training data, resulting in poor performance for translating rare words. In NMT, pretrained word embeddings have been shown to improve NMT of low-resource domains, and a search-based approach is proposed to address the rare word
arXiv:1904.00639v1
fatcat:hwl3cweulbetnc2dbc7hbz2px4