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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 1451–1460 of 1773 papers

TitleStatusHype
SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation—0
Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine TranslationCode0
Measuring Semantic Abstraction of Multilingual NMT with Paraphrase Recognition and Generation Tasks—0
Neural Machine Translation of Text from Non-Native SpeakersCode0
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing—0
Regularizing Neural Machine Translation by Target-bidirectional Agreement—0
D-PAGE: Diverse Paraphrase Generation—0
Ancient-Modern Chinese Translation with a Large Training Dataset—0
Debugging Neural Machine TranslationsCode0
code2seq: Generating Sequences from Structured Representations of CodeCode0
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