Robotics & Machine Learning Daily News2024,Issue(Aug.28) :50-51.

Findings from National Institute of Technology Silchar Yields New Data on Machin e Translation (An Empirical Study of a Novel Multimodal Dataset for Low-resource Machine Translation)

Robotics & Machine Learning Daily News2024,Issue(Aug.28) :50-51.

Findings from National Institute of Technology Silchar Yields New Data on Machin e Translation (An Empirical Study of a Novel Multimodal Dataset for Low-resource Machine Translation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Translation. According to news originatingfrom Assam, India, by NewsRx correspondents, research stated, “Cues from multiple modalities have beensucces sfully applied in several fields of natural language processing including machin e translation (MT).However, the application of multimodal cues in low-resource MT (LRMT) is still an open research problem.”

Key words

Assam/India/Asia/Emerging Technologie s/Machine Learning/Machine Translation/National Institute of Technology Silch ar

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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