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![State of the Art on Grammatical Inference Using Evolutionary Method](/uploads/posts/2021-11/1637400608_8171_stat__of_th__art_on_grammatical_inf_r_nc__using__volutionary_m_thod.jpg)
Автор: Hari Mohan Pandey
Издательство: Academic Press/Elsevier
Год: 2022
Страниц: 230
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB
State of the Art on Grammatical Inference Using Evolutionary Method presents an approach for Grammatical Inference (GI) using evolutionary algorithms. Grammatical inference deals with the standard learning procedure to acquire grammars based on evidence about the language. It has been extensively studied due to its high importance in various fields of engineering and science. The book's prime purpose is to enhance the current state-of-the-art of grammatical inference methods and present new evolutionary algorithms-based approaches for context free grammar induction. Grammatical inference, that is, learning a formal grammar from a set of observations, has many practical applications. These arise in natural language processing (NLP), robotics and control systems, structural pattern recognition, computational linguistics, automatic translation, computational biology, inductive logic programming, document management, compression, applications to time series, data mining, and many other areas.