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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 1271–1280 of 1773 papers

TitleStatusHype
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine TranslationCode0
Depth Growing for Neural Machine TranslationCode0
Improving Robustness in Real-World Neural Machine Translation Engines—0
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity—0
Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach—0
Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders—0
A Compact and Language-Sensitive Multilingual Translation Method—0
Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation—0
Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation—0
English-Indonesian Neural Machine Translation for Spoken Language Domains—0
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