首页|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)
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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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.”
AssamIndiaAsiaEmerging Technologie sMachine LearningMachine TranslationNational Institute of Technology Silch ar
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