Robotics & Machine Learning Daily News2024,Issue(Apr.25) :31-31.

Faculty of Applied Sciences Researchers Add New Findings in the Area of Machine Translation (Neural Machine Translation with CARU-Embedding Layer and CARU-Gated Attention Layer)

Robotics & Machine Learning Daily News2024,Issue(Apr.25) :31-31.

Faculty of Applied Sciences Researchers Add New Findings in the Area of Machine Translation (Neural Machine Translation with CARU-Embedding Layer and CARU-Gated Attention Layer)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on machine translation h ave been presented. According to newsoriginating from Macau, People’s Republic of China, by NewsRx editors, the research stated, “The attentionmechanism perfo rms well for the Neural Machine Translation (NMT) task, but heavily depends on t hecontext vectors generated by the attention network to predict target words. T his reliance raises the issueof long-term dependencies.”

Key words

Faculty of Applied Sciences/Macau/Peop le’s Republic of China/Emerging Technologies/Machine Learning/Machine Trans lation

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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