首页|New Machine Translation Findings from University of Hassan 2 Reported (A Compara tive Study of Different Dimensionality Reduction Techniques for Arabic Machine T ranslation)
New Machine Translation Findings from University of Hassan 2 Reported (A Compara tive Study of Different Dimensionality Reduction Techniques for Arabic Machine T ranslation)
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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 newsreporting from Casablanca, Morocco, by New sRx journalists, research stated, “Word embeddings arewidely deployed in a trem endous range of fundamental natural language processing applications and areals o useful for generating representations of paragraphs, sentences, and documents. In some contextsinvolving constrained memory, it may be beneficial to reduce t he size of word embeddings since theyrepresent a core component of several natu ral language processing tasks.”
CasablancaMoroccoAfricaDimensional ity ReductionEmerg- ing TechnologiesMachine LearningMachine TranslationNat ural Language ProcessingUniversity of Hassan 2.
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