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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 551–575 of 1773 papers

TitleStatusHype
Combining Translation Memory with Neural Machine Translation—0
Combining the Best of Both Worlds: A Method for Hybrid NMT and LLM Translation—0
A Study of Non-autoregressive Model for Sequence Generation—0
Enhancing AI-based Generation of Software Exploits with Contextual Information—0
Combining SMT and NMT Back-Translated Data for Efficient NMT—0
Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models—0
A Study of Multilingual Neural Machine Translation—0
Combining PBSMT and NMT Back-translated Data for Efficient NMT—0
A study of attention-based neural machine translation model on Indian languages—0
Alignment verification to improve NMT translation towards highly inflectional languages with limited resources—0
Neural Machine Translation with Recurrent Highway Networks—0
Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation—0
Fine-Grained Attention Mechanism for Neural Machine Translation—0
FJWU Participation for the WMT21 Biomedical Translation Task—0
Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors—0
Exploring Hyper-Parameter Optimization for Neural Machine Translation on GPU Architectures—0
Exploring Adequacy Errors in Neural Machine Translation with the Help of Cross-Language Aligned Word Embeddings—0
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation—0
Filtering Back-Translated Data in Unsupervised Neural Machine Translation—0
A Comparative Quality Evaluation of PBSMT and NMT using Professional Translators—0
Exploiting Sentential Context for Neural Machine Translation—0
Adaptation of Machine Translation Models with Back-translated Data using Transductive Data Selection Methods—0
Exploring Pair-Wise NMT for Indian Languages—0
Combination of Neural Machine Translation Systems at WMT20—0
Exploiting Neural Query Translation into Cross Lingual Information Retrieval—0
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