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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 531–540 of 1773 papers

TitleStatusHype
A fine-grained error analysis of NMT, SMT and RBMT output for English-to-Dutch—0
Efficient Neural Machine Translation with Prior Word Alignment—0
Efficient Neural Machine Translation for Low-Resource Languages via Exploiting Related Languages—0
Can Synthetic Translations Improve Bitext Quality?—0
Efficient Inference for Multilingual Neural Machine Translation—0
Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation—0
A Primer in NMTology: What we have understood about NMT—0
Efficient Bilingual Generalization from Neural Transduction Grammar Induction—0
Can Neural Machine Translation be Improved with User Feedback?—0
Effective Use of Target-side Context for Neural Machine Translation—0
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