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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 376–400 of 1773 papers

TitleStatusHype
Multi-level Community-awareness Graph Neural Networks for Neural Machine TranslationCode0
Multilingual Extractive Reading Comprehension by Runtime Machine TranslationCode0
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel DataCode0
Combining Advanced Methods in Japanese-Vietnamese Neural Machine TranslationCode0
Multimodal Machine Translation with Embedding PredictionCode0
Exploiting Cross-Sentence Context for Neural Machine TranslationCode0
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine TranslationCode0
English-Japanese Neural Machine Translation with Encoder-Decoder-ReconstructorCode0
A Latent Morphology Model for Open-Vocabulary Neural Machine TranslationCode0
Neural Machine Translation For Low Resource LanguagesCode0
Enhanced Neural Machine Translation by Learning from DraftCode0
CoDoNMT: Modeling Cohesion Devices for Document-Level Neural Machine TranslationCode0
Neural Machine Translation Models with Back-Translation for the Extremely Low-Resource Indigenous Language BribriCode0
Coding Textual Inputs Boosts the Accuracy of Neural NetworksCode0
Addressing the Vulnerability of NMT in Input PerturbationsCode0
Neural Machine Translation Techniques for Named Entity TransliterationCode0
Assessing the Importance of Frequency versus Compositionality for Subword-based Tokenization in NMTCode0
Enhancing Assamese NLP Capabilities: Introducing a Centralized Dataset RepositoryCode0
Encoder-Decoder Shift-Reduce Syntactic ParsingCode0
Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial ApproachCode0
Benchmarking Machine Translation with Cultural AwarenessCode0
End-to-End Training for Back-Translation with Categorical Reparameterization TrickCode0
Efficient k-Nearest-Neighbor Machine Translation with Dynamic RetrievalCode0
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based ModelsCode0
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