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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 1051–1075 of 1773 papers

TitleStatusHype
Improving NMT Quality Using Terminology Injection—0
Improving NMT via Filtered Back Translation—0
Improving Robustness in Real-World Neural Machine Translation Engines—0
Improving Robustness of Retrieval Augmented Translation via Shuffling of Suggestions—0
Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation—0
Improving the Robustness of Speech Translation—0
Improving Zero-shot Multilingual Neural Machine Translation for Low-Resource Languages—0
Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders—0
Improving Zero-shot Translation with Language-Independent Constraints—0
Incorporating External Annotation to improve Named Entity Translation in NMT—0
Incorporating Global Visual Features into Attention-Based Neural Machine Translation—0
Incorporating Global Visual Features into Attention-based Neural Machine Translation.—0
Incorporating Source-Side Phrase Structures into Neural Machine Translation—0
Incorporating Source Syntax into Transformer-Based Neural Machine Translation—0
Incorporating Syntactic Uncertainty in Neural Machine Translation with a Forest-to-Sequence Model—0
Incorporating translation quality estimation into Chinese-Korean neural machine translation—0
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring—0
Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation—0
Incremental Adaptation of NMT for Professional Post-editors: A User Study—0
InDeep × NMT: Empowering Human Translators via Interpretable Neural Machine Translation—0
IndicBART: A Pre-trained Model for Indic Natural Language Generation—0
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits—0
Inducing Grammars with and for Neural Machine Translation—0
Inference-only sub-character decomposition improves translation of unseen logographic characters—0
Information-Propogation-Enhanced Neural Machine Translation by Relation Model—0
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