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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 701–710 of 1773 papers

TitleStatusHype
Document-level grammatical error correctionCode1
MUCS@ - Machine Translation for Dravidian Languages using Stacked Long Short Term Memory—0
Domain Adaptation for NMT via Filtered Iterative Back-Translation—0
Towards Personalised and Document-level Machine Translation of Dialogue—0
OPUS-CAT: Desktop NMT with CAT integration and local fine-tuning—0
Context-aware Neural Machine Translation with Mini-batch EmbeddingCode0
Measuring and Improving Faithfulness of Attention in Neural Machine Translation—0
Complex Question Answering on knowledge graphs using machine translation and multi-task learning—0
Why Find the Right One?—0
Alignment verification to improve NMT translation towards highly inflectional languages with limited resources—0
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