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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 9761000 of 1773 papers

TitleStatusHype
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
Hindi to English: Transformer-Based Neural Machine Translation0
HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints0
How Does Pretraining Improve Discourse-Aware Translation?0
How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation?0
How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation?0
How Much Attention Do You Need? A Granular Analysis of Neural Machine Translation Architectures0
How Much Does Tokenization Affect Neural Machine Translation?0
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