A study of paraphrase meta-language in linguistic domains in the age of artificial intelligence

A study of paraphrase meta-language in linguistic domains in the age of artificial intelligence

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 res...

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Bibliographic Details
Main Author: Peng Tongtong
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
lda
vector space modeling
text features
statistical disambiguation
paraphrased meta-language
62n01
Online Access:https://doi.org/10.2478/amns-2024-0610

Internet

https://doi.org/10.2478/amns-2024-0610

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