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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 621–630 of 1773 papers

TitleStatusHype
Bilingual Methods for Adaptive Training Data Selection for Machine Translation—0
Dissecting Lottery Ticket Transformers: Structural and Behavioral Study of Sparse Neural Machine Translation—0
Bilingual Low-Resource Neural Machine Translation with Round-Tripping: The Case of Persian-Spanish—0
An Error-based Investigation of Statistical and Neural Machine Translation Performance on Hindi-to-Tamil and English-to-Tamil—0
DiscreTalk: Text-to-Speech as a Machine Translation Problem—0
Discourse-Related Language Contrasts in English-Croatian Human and Machine Translation—0
Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation—0
Discourse Cohesion Evaluation for Document-Level Neural Machine Translation—0
An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain—0
AdMix: A Mixed Sample Data Augmentation Method for Neural Machine Translation—0
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