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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 391–400 of 1773 papers

TitleStatusHype
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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