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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 1021–1030 of 1773 papers

TitleStatusHype
Sentence-Level Agreement for Neural Machine Translation—0
Sentence-Level Multilingual Multi-modal Embedding for Natural Language Processing—0
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing—0
Sentiment Aware Neural Machine Translation—0
Sentiment Perception Adversarial Attacks on Neural Machine Translation Systems—0
Sequence-to-Dependency Neural Machine Translation—0
Shared-Private Bilingual Word Embeddings for Neural Machine Translation—0
Sheffield Submissions for WMT18 Multimodal Translation Shared Task—0
Shiksha: A Technical Domain focused Translation Dataset and Model for Indian Languages—0
SIGMORPHON 2020 Task 0 System Description: ETH Z\"urich Team—0
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