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dc.contributor.authorMariusz, Flasiński-
dc.contributor.authorJanusz, Jurek-
dc.contributor.authorTomasz, Peszek-
dc.date.accessioned2023-04-26T02:32:12Z-
dc.date.available2023-04-26T02:32:12Z-
dc.date.issued2022-
dc.identifier.urihttps://link.springer.com/article/10.1007/s10044-022-01120-0-
dc.identifier.urihttps://dlib.phenikaa-uni.edu.vn/handle/PNK/8309-
dc.descriptionCC BYvi
dc.description.abstractThe 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.vi
dc.language.isoenvi
dc.publisherSpringervi
dc.subjectsyntactic pattern recognitionvi
dc.titleOn the learning of vague languages for syntactic pattern recognitionvi
dc.typeBookvi
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