caa a22 4500 477074480 CHVBK 20180405111435.0 cr unu---uuuuu 170330e19961201xx s 000 0 eng 10.1007/BF02900899 doi (NATIONALLICENCE)springer-10.1007/BF02900899 An inductive method with genetic algorithm for learning phrase-structure-rule of natural language [Elektronische Daten] [Houfeng Wang, Dawei Dai] This paper describes an Inductive method with genetic search which learns attribute based phraserule of natural language from set of preclassified examples. Every example is described with some attributes/values. This algorithm takes an example as a seed, generalizes it by genetic process, and makes it cover as many examples as possible. We use genetic operator in population to perform a probabilistic parallel search in rule space and it will reduce greatly possible rule search space compared with many other inductive methods. In this paper, we give description of attribute, word, dictionary and rule at first; then we describe learning algorithm and genetic search process, and at last, we give a computing method about quility of rule C(r). Springer, 1996 Phrase-rule nationallicence Example nationallicence Generalization nationallicence Induction nationallicence Genetic Algorithm nationallicence Wang Houfeng Computer Science Depl., Central China Normal University, 430070, Wuhan, Hubei, P. R. China aut Dai Dawei Computer Science Dept, Wu Han University, 430072, Wuhan, Hubei, P.R. China aut Wuhan University Journal of Natural Sciences Wuhan University 1/3-4(1996-12-01), 640-644 1007-1202 1:3-4<640 1996 1 11859 https://doi.org/10.1007/BF02900899 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF02900899 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wang Houfeng Computer Science Depl., Central China Normal University, 430070, Wuhan, Hubei, P. R. China aut NATIONALLICENCE 700 1- Dai Dawei Computer Science Dept, Wu Han University, 430072, Wuhan, Hubei, P.R. China aut NATIONALLICENCE 773 0- Wuhan University Journal of Natural Sciences Wuhan University 1/3-4(1996-12-01), 640-644 1007-1202 1:3-4<640 1996 1 11859 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer