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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 1251–1275 of 1773 papers

TitleStatusHype
Why Neural Machine Translation Prefers Empty Outputs—0
Word Alignment in the Era of Deep Learning: A Tutorial—0
Word Rewarding for Adequate Neural Machine Translation—0
WT: Wipro AI Submissions to the WAT 2020—0
XMU Neural Machine Translation Online Service—0
xSIM++: An Improved Proxy to Bitext Mining Performance for Low-Resource Languages—0
YANMTT: Yet Another Neural Machine Translation Toolkit—0
Zero-Resource Neural Machine Translation with Multi-Agent Communication Game—0
Zero-Resource Neural Machine Translation with Monolingual Pivot Data—0
Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation—0
Zero-Shot Neural Machine Translation: Russian-Hindi @LoResMT 2020—0
Zero-Shot Neural Machine Translation with Self-Learning Cycle—0
Zero-shot translation among Indian languages—0
Zero-Shot Translation using Diffusion Models—0
Neural Machine Translation with Recurrent Highway Networks—0
ZJU’s IWSLT 2021 Speech Translation System—0
Examining Structure of Word Embeddings with PCA—0
Domain Adaptive Inference for Neural Machine Translation—0
Improving Neural Machine Translation with Pre-trained Representation—0
Self-attention based end-to-end Hindi-English Neural Machine Translation—0
Findings of the Third Workshop on Neural Generation and Translation—0
Enhancing AI-based Generation of Software Exploits with Contextual Information—0
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment—0
A Character-Aware Encoder for Neural Machine Translation—0
Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian—0
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