2024
DOI: 10.2478/amns-2024-0610
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A study of paraphrase meta-language in linguistic domains in the age of artificial intelligence

Tongtong Peng

Abstract: This study delves into paraphrase meta-language for linguistic domains in the age of artificial intelligence. The study includes text preprocessing, text representation based on vector space modeling, statistical disambiguation, feature selection, and LDA topic modeling application. The research results show that these methods can effectively extract and understand paraphrased meta-language. The thematic distribution and dynamic changes of paraphrased meta-language are revealed by LDA modeling analysis in 4623… Show more

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