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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
Asymptotically Smaller Encodings for Graph Problems and Scheduling—0
Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation—0
Exploiting Sentential Context for Neural Machine Translation—0
Exploring Pair-Wise NMT for Indian Languages—0
Comparison between NMT and PBSMT Performance for Translating Noisy User-Generated Content—0
Comparing Multilingual NMT Models and Pivoting—0
Comparing MT Approaches for Text Normalization—0
Comparing and combining tagging with different decoding algorithms for back-translation in NMT: learnings from a low resource scenario—0
A Survey on Low-Resource Neural Machine Translation—0
A Master-Apprentice Approach to Automatic Creation of Culturally Satirical Movie Titles—0
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