A hybrid Chinese word segmentation model for quality management-related texts based on transfer learning

Text information mining is a key step to data-driven automatic/semi-automatic quality management (QM). For Chinese texts, a word segmentation algorithm is necessary for pre-processing since there are no explicit marks to define word boundaries. Because of intrinsic characteristics of QM-related text...

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Detalles Bibliográficos
Autores principales: Wen, Peihan, Feng, Linhan, Zhang, Tian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9543942/
https://www.ncbi.nlm.nih.gov/pubmed/36206249
http://dx.doi.org/10.1371/journal.pone.0270154

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9543942/
https://www.ncbi.nlm.nih.gov/pubmed/36206249
http://dx.doi.org/10.1371/journal.pone.0270154

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