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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 1451–1475 of 1773 papers

TitleStatusHype
Character-Aware Decoder for Translation into Morphologically Rich Languages—0
Character-based Decoding in Tree-to-Sequence Attention-based Neural Machine Translation—0
Character-based NMT with Transformer—0
Character-level NMT and language similarity—0
Character-level Transformer-based Neural Machine Translation—0
Checkpoint Reranking: An Approach to Select Better Hypothesis for Neural Machine Translation Systems—0
Checks and Strategies for Enabling Code-Switched Machine Translation—0
Chinese-Portuguese Machine Translation: A Study on Building Parallel Corpora from Comparable Texts—0
Choose the Final Translation from NMT and LLM hypotheses Using MBR Decoding: HW-TSC's Submission to the WMT24 General MT Shared Task—0
Chunk-based Decoder for Neural Machine Translation—0
CKY-based Convolutional Attention for Neural Machine Translation—0
Clause Attention based on Signal Words Division—0
CMU’s Machine Translation System for IWSLT 2019—0
C-NMT: A Collaborative Inference Framework for Neural Machine Translation—0
Code-switching pre-training for neural machine translation—0
Code-Switching with Word Senses for Pretraining in Neural Machine Translation—0
CODET: A Benchmark for Contrastive Dialectal Evaluation of Machine Translation—0
Code Translation with Compiler Representations—0
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation—0
Combination of Neural Machine Translation Systems at WMT20—0
Combining PBSMT and NMT Back-translated Data for Efficient NMT—0
Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models—0
Combining SMT and NMT Back-Translated Data for Efficient NMT—0
Combining the Best of Both Worlds: A Method for Hybrid NMT and LLM Translation—0
Combining Translation Memory with Neural Machine Translation—0
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