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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 1651–1675 of 1773 papers

TitleStatusHype
Neural Machine Translation Models with Attention-Based Dropout LayerCode0
Neural Machine Translation Models with Back-Translation for the Extremely Low-Resource Indigenous Language BribriCode0
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based ModelsCode0
Vocabulary Adaptation for Domain Adaptation in Neural Machine TranslationCode0
Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq ApproachesCode0
Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel CorporaCode0
End-to-End Training for Back-Translation with Categorical Reparameterization TrickCode0
Dense Information Flow for Neural Machine TranslationCode0
Joey NMT: A Minimalist NMT Toolkit for NovicesCode0
Encoder-Decoder Shift-Reduce Syntactic ParsingCode0
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
Deep Recurrent Models with Fast-Forward Connections for Neural Machine TranslationCode0
Active Learning for Neural Machine TranslationCode0
Neural Machine Translation with Error CorrectionCode0
Translation Transformers Rediscover Inherent Data DomainsCode0
Neural Machine Translation with Heterogeneous Topic Knowledge EmbeddingsCode0
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