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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 1561–1570 of 1773 papers

TitleStatusHype
Multimodal Machine Translation with Embedding PredictionCode0
Exploiting Cross-Sentence Context for Neural Machine TranslationCode0
Semantic Neural Machine Translation using AMRCode0
An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text TranslationCode0
Translating Pro-Drop Languages with Reconstruction ModelsCode0
Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative DecodingCode0
Towards Boosting Many-to-Many Multilingual Machine Translation with Large Language ModelsCode0
Explicit Sentence Compression for Neural Machine TranslationCode0
An Effective Method using Phrase Mechanism in Neural Machine TranslationCode0
Examining the Tip of the Iceberg: A Data Set for Idiom TranslationCode0
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