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Found 9 papers, 3 papers with code
Rakuten’s Participation in WAT 2021: Examining the Effectiveness of Pre-trained Models for Multilingual and Multimodal Machine Translation
This paper introduces our neural machine translation systems’ participation in the WAT 2021 shared translation tasks (team ID: sakura).
Can Automatic Post-Editing Improve NMT?
To ascertain our hypothesis, we compile a larger corpus of human post-edits of English to German NMT.
Lexically Constrained Neural Machine Translation with Levenshtein Transformer
This paper proposes a simple and effective algorithm for incorporating lexical constraints in neural machine translation.
Sarah's Participation in WAT 2019
This paper describes our MT systems{'} participation in the of WAT 2019.
Neural Architectures for Multilingual Semantic Parsing
In this paper, we address semantic parsing in a multilingual context.
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