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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 12011225 of 1773 papers

TitleStatusHype
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation0
Memory-augmented Chinese-Uyghur Neural Machine Translation0
Memory-augmented Neural Machine Translation0
Memory-enhanced Decoder for Neural Machine Translation0
Merging External Bilingual Pairs into Neural Machine Translation0
Meta Back-translation0
Meta Ensemble for Japanese-Chinese Neural Machine Translation: Kyoto-U+ECNU Participation to WAT 20200
Meta-Learning for Few-Shot NMT Adaptation0
Meta-Learning for Low-Resource Neural Machine Translation0
Meta-Learning for Low-Resource Neural Machine Translation0
Mining Bilingual Word Pairs from Comparable Corpus using Apache Spark Framework0
Mirror-Generative Neural Machine Translation0
Mixed Multi-Head Self-Attention for Neural Machine Translation0
Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches0
Modeling Concentrated Cross-Attention for Neural Machine Translation with Gaussian Mixture Model0
Modeling Discourse Structure for Document-level Neural Machine Translation0
Modeling Future Cost for Neural Machine Translation0
Modeling Future for Neural Machine Translation by Fusing Target Information0
Modeling Homophone Noise for Robust Neural Machine Translation0
Modeling Latent Sentence Structure in Neural Machine Translation0
Modeling Multi-granularity Segmentation for Rare Words in Neural Machine Translation0
Modeling Source Syntax for Neural Machine Translation0
Modeling Target-Side Inflection in Neural Machine Translation0
Modeling Task-Aware MIMO Cardinality for Efficient Multilingual Neural Machine Translation0
Modeling Word Formation in English--German Neural Machine Translation0
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