On the learning of vague languages for syntactic pattern recognition

被引：1
|
作者：
Flasinski, Mariusz [1 ]
Jurek, Janusz [1 ]
Peszek, Tomasz [1 ]
机构：
[1] Jagiellonian Univ, Informat Technol Syst Dept, Ul Prof St Lojasiewicza 4, PL-30348 Krakow, Poland
来源：
PATTERN ANALYSIS AND APPLICATIONS | 2023年 / 26卷 / 02期
关键词：
Syntactic pattern recognition; Formal grammars; Grammatical induction; Vague languages; LOAD; GRAMMARS;
D O I：
10.1007/s10044-022-01120-0
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The method of the learning of vague languages which represent distorted/ambiguous patterns is proposed in the paper. The goal of the method is to infer the quasi-context-sensitive string grammar which is used in our model as the generator of patterns. The method is an important component of the multi-derivational model of the parsing of vague languages used for syntactic pattern recognition.
引用
收藏
页码：605 / 615
页数：11
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