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Found 4 papers, 2 papers with code
Increasing Visual Awareness in Multimodal Neural Machine Translation from an Information Theoretic Perspective
Multimodal machine translation (MMT) aims to improve translation quality by equipping the source sentence with its corresponding image.
Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon Induction
Bilingual Lexicon Induction (BLI) aims to map words in one language to their translations in another, and is typically through learning linear projections to align monolingual word representation spaces.
Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences
In this paper, we propose a new task of machine translation (MT), which is based on no parallel sentences but can refer to a ground-truth bilingual dictionary.
Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation
However, existing transfer methods involving a common target language are far from success in the extreme scenario of zero-shot translation, due to the language space mismatch problem between transferor (the parent model) and transferee (the child model) on the source side.
