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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 471–480 of 1773 papers

TitleStatusHype
Building a Neural Machine Translation System Using Only Synthetic Parallel Data—0
Dynamic Fusion: Attentional Language Model for Neural Machine Translation—0
Building a Parallel Corpus and Training Translation Models Between Luganda and English—0
Dynamic Oracle for Neural Machine Translation in Decoding Phase—0
Building a Task-oriented Dialog System for Languages with no Training Data: the Case for Basque—0
Dynamic Position Encoding for Transformers—0
Dynamic Sentence Sampling for Efficient Training of Neural Machine Translation—0
A Parallel Corpus of Theses and Dissertations Abstracts—0
A Multi-Task Architecture on Relevance-based Neural Query Translation—0
Improving Neural Machine Translation with Pre-trained Representation—0
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