Papers by Adrià De Gispert

1 papers
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment (N18-3)

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Challenge: LMBR techniques for NMT still yield better results than Transformers . but with NMT, real time decoding is challenging without GPUs and high-end GPUs are expensive.
Approach: They propose a batched beam decoding algorithm for NMT with LMBR n-gram posteriors and an acceleration strategy for deployment to take advantage of the higher adequacy.
Outcome: The proposed method outperforms the most recent results with Transformers in terms of speed and memory usage.

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