Papers by Jun Ogata

1 papers
Our Neural Machine Translation Systems for WAT 2019 (D19-52)

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Challenge: In the last five years, statistical machine translation is gradually fading out in favor of neural machine translation.
Approach: They describe a novel Neural Machine Translation (NMT) system for the WAT 2019 translation tasks they focus on.
Outcome: The proposed system improves translation accuracy while replacing absolute position representations with relative positions.

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