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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 421–430 of 1773 papers

TitleStatusHype
Reinforcement Learning with Large Action Spaces for Neural Machine Translation—0
Towards Robust Neural Machine Translation with Iterative Scheduled Data-Switch TrainingCode0
Byte-based Multilingual NMT for Endangered LanguagesCode0
NIT Rourkela Machine Translation(MT) System Submission to WAT 2022 for MultiIndicMT: An Indic Language Multilingual Shared Task—0
Speeding up Transformer Decoding via an Attention Refinement NetworkCode0
Linguistically-Motivated Yorùbá-English Machine Translation—0
Multi-level Community-awareness Graph Neural Networks for Neural Machine TranslationCode0
NICT’s Submission to the WAT 2022 Structured Document Translation Task—0
Addressing Asymmetry in Multilingual Neural Machine Translation with Fuzzy Task Clustering—0
Iterative Constrained Back-Translation for Unsupervised Domain Adaptation of Machine TranslationCode0
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