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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 851–875 of 1773 papers

TitleStatusHype
Language Model-Driven Unsupervised Neural Machine Translation—0
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT—0
Language Modelling with NMT Query Translation for Amharic-Arabic Cross-Language Information Retrieval—0
Language Models are Good Translators—0
Language Portability Strategies for Open-domain Dialogue with Pre-trained Language Models from High to Low Resource Languages—0
Language Relatedness and Lexical Closeness can help Improve Multilingual NMT: IITBombay@MultiIndicNMT WAT2021—0
Controlling Utterance Length in NMT-based Word Segmentation with Attention—0
Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs—0
Latent Part-of-Speech Sequences for Neural Machine Translation—0
Latest Development in the FoTran Project – Scaling Up Language Coverage in Neural Machine Translation Using Distributed Training with Language-Specific Components—0
IIIT Hyderabad Submission To WAT 2021: Efficient Multilingual NMT systems for Indian languages—0
Lattice-Based Transformer Encoder for Neural Machine Translation—0
Idiap NMT System for WAT 2019 Multimodal Translation Task—0
Controlling the Output Length of Neural Machine Translation—0
Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation—0
Learning Distributional Token Representations from Visual Features—0
A User Study of the Incremental Learning in NMT—0
Learning Efficient Lexically-Constrained Neural Machine Translation with External Memory—0
Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora—0
Learning from Chunk-based Feedback in Neural Machine Translation—0
An Analysis of Source-Side Grammatical Errors in NMT—0
Learning How to Translate North Korean through South Korean—0
A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation—0
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment—0
Identifying and Controlling Important Neurons in Neural Machine Translation—0
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