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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 1661–1670 of 1773 papers

TitleStatusHype
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair VariablesCode0
Neural Machine Translation of Text from Non-Native SpeakersCode0
Towards Neural Phrase-based Machine TranslationCode0
Neural Machine Translation Quality and Post-Editing PerformanceCode0
DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware TranslatorsCode0
Neural Machine Translation Techniques for Named Entity TransliterationCode0
Neural Machine Translation with ReconstructionCode0
Adapting Multilingual Neural Machine Translation to Unseen LanguagesCode0
Benchmarking Machine Translation with Cultural AwarenessCode0
A Latent Morphology Model for Open-Vocabulary Neural Machine TranslationCode0
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