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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 1391–1400 of 1773 papers

TitleStatusHype
On the Word Alignment from Neural Machine Translation—0
ON-TRAC’ systems for the IWSLT 2021 low-resource speech translation and multilingual speech translation shared tasks—0
On Zero-shot Cross-lingual Transfer of Multilingual Neural Machine Translation—0
OpenNMT: Open-source Toolkit for Neural Machine Translation—0
OpenNMT System Description for WNMT 2018: 800 words/sec on a single-core CPU—0
OPPO NMT System for IWSLT 2019—0
Optimizing Segmentation Granularity for Neural Machine Translation—0
OPUS-CAT: Desktop NMT with CAT integration and local fine-tuning—0
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning—0
OSN-MDAD: Machine Translation Dataset for Arabic Multi-Dialectal Conversations on Online Social Media—0
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