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  4. Vol 6, Issue 7, 2022

Adaptive Selection Algorithm of Paragraph Selection Structure Based on Complex Data Type

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DOI: 10.23977/acss.2022.060711 | Downloads: 16 | Views: 488

Author(s)

Aoxue Han 1, Zhinan Lin 2

Affiliation(s)

1 Hunan University of Science and Technology, Xiangtan, China
2 Hunan Vocational Institute of Technology, Xiangtan, China

Corresponding Author

Aoxue Han

ABSTRACT

In the automatic generation of standard documents, the replacement method of template is cumbersome and difficult to modify and maintain in the later stage when dealing with the selection structure in the paragraph template. To solve this problem, an adaptive paragraph selection structure selection algorithm based on complex data types is proposed. On the basis of the tree structure, each node is abstracted into a class, selection nodes are set, and attributes and methods are set for the selection nodes. The deletion and retention of nodes in the paragraph template are completed through the attributes and methods of the selection nodes. The experiment shows that it has a good effect in paragraphs with multi branch sentences.

KEYWORDS

Document Generation, Complex Data Type, Selection Structure, Adaptability

CITE THIS PAPER

Aoxue Han, Zhinan Lin, Adaptive Selection Algorithm of Paragraph Selection Structure Based on Complex Data Type. Advances in Computer, Signals and Systems (2022) Vol. 6: 80-85. DOI: http://dx.doi.org/10.23977/acss.2022.060711.

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