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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 1121–1130 of 1773 papers

TitleStatusHype
The TALP-UPC Participation in WMT21 News Translation Task: an mBART-based NMT Approach—0
The Transference Architecture for Automatic Post-Editing—0
The University of Edinburgh’s Submission to the IWSLT21 Simultaneous Translation Task—0
The University of Tokyo’s Submissions to the WAT 2020 Shared Task—0
The USYD-JD Speech Translation System for IWSLT 2021—0
The USYD-JD Speech Translation System for IWSLT2021—0
THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation—0
Tilde's Machine Translation Systems for WMT 2019—0
TIMeSynC: Temporal Intent Modelling with Synchronized Context Encodings for Financial Service Applications—0
TMT: A Transformer-based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-aware Dialog—0
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