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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 641–650 of 1773 papers

TitleStatusHype
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval—0
Generalization algorithm of multimodal pre-training model based on graph-text self-supervised training—0
Generalizing Back-Translation in Neural Machine Translation—0
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation—0
Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20—0
Generating Diverse Translation from Model Distribution with Dropout—0
Generating Gender Augmented Data for NLP—0
Code Translation with Compiler Representations—0
Getting Gender Right in Neural Machine Translation—0
Exploiting Monolingual Data at Scale for Neural Machine Translation—0
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