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

页码：605 / 615

页数：11

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