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On the learning of vague languages for syntactic pattern recognition

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Bibliographic Details
Main Authors: Mariusz, Flasiński, Janusz, Jurek, Tomasz, Peszek
Format: Book
Language:English
Published: Springer 2023
Subjects:
syntactic pattern recognition
Online Access:https://link.springer.com/article/10.1007/s10044-022-01120-0
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8309
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spelling oai:localhost:PNK-83092023-04-26T02:32:12Z On the learning of vague languages for syntactic pattern recognition Mariusz, Flasiński Janusz, Jurek Tomasz, Peszek syntactic pattern recognition CC BY 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. 2023-04-26T02:32:12Z 2023-04-26T02:32:12Z 2022 Book https://link.springer.com/article/10.1007/s10044-022-01120-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8309 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic syntactic pattern recognition
spellingShingle syntactic pattern recognition
Mariusz, Flasiński
Janusz, Jurek
Tomasz, Peszek
On the learning of vague languages for syntactic pattern recognition
description CC BY
format Book
author Mariusz, Flasiński
Janusz, Jurek
Tomasz, Peszek
author_facet Mariusz, Flasiński
Janusz, Jurek
Tomasz, Peszek
author_sort Mariusz, Flasiński
title On the learning of vague languages for syntactic pattern recognition
title_short On the learning of vague languages for syntactic pattern recognition
title_full On the learning of vague languages for syntactic pattern recognition
title_fullStr On the learning of vague languages for syntactic pattern recognition
title_full_unstemmed On the learning of vague languages for syntactic pattern recognition
title_sort on the learning of vague languages for syntactic pattern recognition
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s10044-022-01120-0
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8309
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score 8.891053

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