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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 521–530 of 1773 papers

TitleStatusHype
Amortized Noisy Channel Neural Machine Translation—0
Exploiting Deep Representations for Neural Machine Translation—0
A Systematic Analysis of Vocabulary and BPE Settings for Optimal Fine-tuning of NMT: A Case Study of In-domain Translation—0
Compressing Neural Machine Translation Models with 4-bit Precision—0
A Mixed Learning Objective for Neural Machine Translation—0
Compositional Representation of Morphologically-Rich Input for Neural Machine Translation—0
Complex Question Answering on knowledge graphs using machine translation and multi-task learning—0
Evaluation of NMT-Assisted Grammar Transfer for a Multi-Language Configurable Data-to-Text System—0
Amharic-Arabic Neural Machine Translation—0
Asynchronous and Segmented Bidirectional Encoding for NMT—0
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