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Old Age
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment
April 30, 2018 ยท Declared Dead ยท ๐ North American Chapter of the Association for Computational Linguistics
"No code URL or promise found in abstract"
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Authors
Gonzalo Iglesias, William Tambellini, Adriร De Gispert, Eva Hasler, Bill Byrne
arXiv ID
1804.11324
Category
cs.CL: Computation & Language
Citations
4
Venue
North American Chapter of the Association for Computational Linguistics
Last Checked
4 months ago
Abstract
We describe a batched beam decoding algorithm for NMT with LMBR n-gram posteriors, showing that LMBR techniques still yield gains on top of the best recently reported results with Transformers. We also discuss acceleration strategies for deployment, and the effect of the beam size and batching on memory and speed.
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