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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 671–680 of 1773 papers

TitleStatusHype
HI-CMLM: Improve CMLM with Hybrid Decoder Input—0
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models—0
Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation—0
Hierarchical Sequence to Sequence Voice Conversion with Limited Data—0
High-Quality Data Augmentation for Low-Resource NMT: Combining a Translation Memory, a GAN Generator, and Filtering—0
HilMeMe: A Human-in-the-Loop Machine Translation Evaluation Metric Looking into Multi-Word Expressions—0
Hindi-Marathi Cross Lingual Model—0
Hindi to English: Transformer-Based Neural Machine Translation—0
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques—0
Exploiting Domain-Specific Parallel Data on Multilingual Language Models for Low-resource Language Translation—0
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