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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 1501–1525 of 1773 papers

TitleStatusHype
Context-Aware Smoothing for Neural Machine Translation—0
Context Based Machine Translation With Recurrent Neural Network For English-Amharic Translation—0
Context in Neural Machine Translation: A Review of Models and Evaluations—0
Contextual Cues in Machine Translation: Investigating the Potential of Multi-Source Input Strategies in LLMs and NMT Systems—0
Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing—0
Contextual Text Embeddings for Twi—0
Continual Learning for Neural Machine Translation—0
Continual Learning in Multilingual NMT via Language-Specific Embeddings—0
ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation—0
Contrastive Learning for Context-aware Neural Machine TranslationUsing Coreference Information—0
Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information—0
Contrastive Token Learning with Similarity Decay for Repetition Suppression in Machine Translation—0
Contrastive Word Embedding Learning for Neural Machine Translation—0
Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022—0
Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation—0
Controlling the Output Length of Neural Machine Translation—0
Controlling Utterance Length in NMT-based Word Segmentation with Attention—0
Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments—0
Corpora for Document-Level Neural Machine Translation—0
Corpus Augmentation by Sentence Segmentation for Low-Resource Neural Machine Translation—0
Correcting Length Bias in Neural Machine Translation—0
Cost-Effective Training in Low-Resource Neural Machine Translation—0
Cost-Effective Training in Low-Resource Neural Machine Translation—0
Coverage Embedding Models for Neural Machine Translation—0
Crafting Adversarial Examples for Neural Machine Translation—0
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