首页|Recent Findings from Shenyang Ligong University Highlight Research in Machine Tr anslation (Neural Machine Translation for Low-Resource Languages from a Chinese- centric Perspective: A Survey)
Recent Findings from Shenyang Ligong University Highlight Research in Machine Tr anslation (Neural Machine Translation for Low-Resource Languages from a Chinese- centric Perspective: A Survey)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on machine trans lation have been published. According to news reporting out of Shenyang, People’ s Republic of China, by NewsRx editors, research stated, “Machine translation-th e automatic transformation of one natural language (source language) into anothe r (target language) through computational means-occupies a central role in compu tational linguistics and stands as a cornerstone of research within the field of Natural Language Processing (NLP).” Our news editors obtained a quote from the research from Shenyang Ligong Univers ity: “In recent years, the prominence of Neural Machine Translation (NMT) has gr own exponentially, offering an advanced framework for machine translation resear ch. It is noted for its superior translation performance, especially when tackli ng the challenges posed by low-resource language pairs that suffer from a limite d corpus of data resources. This article offers an exhaustive exploration of the historical trajectory and advancements in NMT, accompanied by an analysis of th e underlying foundational concepts. It subsequently provides a concise demarcati on of the unique characteristics associated with low-resource languages and pres ents a succinct review of pertinent translation models and their applications, s pecifically within the context of languages with low-resources.”
Shenyang Ligong UniversityShenyangPe ople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningMachine Translation
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