首页|Research from University of Hassan II Casablanca Reveals New Findings on Machine Translation (Assessing the Impact of Static, Contextual and Character Embedding s for Arabic Machine Translation)
Research from University of Hassan II Casablanca Reveals New Findings on Machine Translation (Assessing the Impact of Static, Contextual and Character Embedding s for Arabic Machine Translation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in machine translation. According to news originating from Casablanca, Morocco, by NewsRx editors, the research stated, “Word embeddings/representations are an imp ortant component of Natural Language Processing (NLP) tasks.”
University of Hassan II CasablancaCasa blancaMoroccoAfricaEmerging TechnologiesMachine LearningMachine Transl ation
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