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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

Showing 671680 of 1773 papers

TitleStatusHype
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters0
Data Augmentation for Sign Language Gloss Translation0
Dynamic Multi-Branch Layers for On-Device Neural Machine TranslationCode0
Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span PredictionCode1
Self-Guided Curriculum Learning for Neural Machine Translation0
Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine TranslationCode0
Boosting Neural Machine Translation from Finnish to Northern Sámi with Rule-Based Backtranslation0
Hidden Backdoors in Human-Centric Language ModelsCode1
Generating Lead Sheets with Affect: A Novel Conditional seq2seq FrameworkCode1
Shellcode_IA32: A Dataset for Automatic Shellcode GenerationCode1
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