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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

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Showing 1001–1010 of 1773 papers

TitleStatusHype
Scaling Laws for Neural Machine Translation—0
Search Engine Guided Non-Parametric Neural Machine Translation—0
Secoco: Self-Correcting Encoding for Neural Machine Translation—0
Segment-Based Interactive Machine Translation for Pre-trained Models—0
Selecting Artificially-Generated Sentences for Fine-Tuning Neural Machine Translation—0
Selecting the best data filtering method for NMT training—0
Self-Guided Curriculum Learning for Neural Machine Translation—0
Self-Induced Curriculum Learning in Neural Machine Translation—0
Self-Learning for Zero Shot Neural Machine Translation—0
SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation—0
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