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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 381–390 of 1773 papers

TitleStatusHype
A Latent Morphology Model for Open-Vocabulary Neural Machine TranslationCode0
Multimodal Machine Translation with Embedding PredictionCode0
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based ModelsCode0
CoDoNMT: Modeling Cohesion Devices for Document-Level Neural Machine TranslationCode0
Coding Textual Inputs Boosts the Accuracy of Neural NetworksCode0
Assessing the Importance of Frequency versus Compositionality for Subword-based Tokenization in NMTCode0
English-Japanese Neural Machine Translation with Encoder-Decoder-ReconstructorCode0
Efficient k-Nearest-Neighbor Machine Translation with Dynamic RetrievalCode0
Neural Machine Translation for Low-Resourced Indian LanguagesCode0
Benchmarking Machine Translation with Cultural AwarenessCode0
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