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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 17261750 of 1773 papers

TitleStatusHype
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation0
Gender-specific Machine Translation with Large Language Models0
General2Specialized LLMs Translation for E-commerce0
Generalization algorithm of multimodal pre-training model based on graph-text self-supervised training0
Generalizing Back-Translation in Neural Machine Translation0
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation0
Generating Diverse Translation from Model Distribution with Dropout0
Generating Gender Augmented Data for NLP0
Getting Gender Right in Neural Machine Translation0
GraphSeq2Seq: Graph-Sequence-to-Sequence for Neural Machine Translation0
Graph-to-Sequence Neural Machine Translation0
Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue0
Guiding Neural Machine Translation with Retrieved Translation Pieces0
Hallucinations in Neural Machine Translation0
Hallucinations in neural machine translation0
Handling Homographs in Neural Machine Translation0
Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation0
HausaMT v1.0: Towards English-Hausa Neural Machine Translation0
Heterogeneous Recycle Generation for Chinese Grammatical Error Correction0
HI-CMLM: Improve CMLM with Hybrid Decoder Input0
Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation0
Hierarchical Sequence to Sequence Voice Conversion with Limited Data0
High-Quality Data Augmentation for Low-Resource NMT: Combining a Translation Memory, a GAN Generator, and Filtering0
HilMeMe: A Human-in-the-Loop Machine Translation Evaluation Metric Looking into Multi-Word Expressions0
Hindi-Marathi Cross Lingual Model0
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