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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 281–290 of 1773 papers

TitleStatusHype
LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language ModelsCode0
Reinforcement Learning with Large Action Spaces for Neural Machine Translation—0
JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMTCode1
Low-Resource Neural Machine Translation: A Case Study of CantoneseCode1
Investigation of English to Hindi Multimodal Neural Machine Translation using Transliteration-based Phrase Pairs Augmentation—0
English to Bengali Multimodal Neural Machine Translation using Transliteration-based Phrase Pairs Augmentation—0
NICT’s Submission to the WAT 2022 Structured Document Translation Task—0
NIT Rourkela Machine Translation(MT) System Submission to WAT 2022 for MultiIndicMT: An Indic Language Multilingual Shared Task—0
HFT: High Frequency Tokens for Low-Resource NMTCode0
TMU NMT System with Automatic Post-Editing by Multi-Source Levenshtein Transformer for the Restricted Translation Task of WAT 2022—0
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