CHENG-YUAN LIOUHuang, Jau-ChiJau-ChiHuangYang, Wen-ChieWen-ChieYang2018-09-102018-09-10200809252312http://www.scopus.com/inward/record.url?eid=2-s2.0-56549089658&partnerID=MN8TOARShttp://scholars.lib.ntu.edu.tw/handle/123456789/339861This paper presents an automatic acquisition process to acquire the semantic meaning for the words. This process obtains the representation vectors for stemmed words by iteratively improving the vectors, using a trained Elman network. Experiments performed on a corpus composed of Shakespeare's writings show its linguistic analysis and categorization abilities. © 2008 Elsevier B.V. All rights reserved.application/pdf377549 bytesapplication/pdfAuthorship; Categorization; Compositional representation; Content addressable memory; Elman network; Linguistic analysis; Personalized code; Polysemous word; Semantic search; Stylistic similarity; Word perception[SDGs]SDG4Data storage equipment; Information theory; Linguistics; Semantics; Vectors; Authorship; Categorization; Compositional representation; Content addressable memory; Elman network; Linguistic analysis; Personalized code; Polysemous word; Semantic search; Stylistic similarity; Word perception; Neural networks; conference paper; learning algorithm; linguistics; literature; mathematical model; nerve cell network; priority journal; semantics; verbal memory; word recognitionconference paper10.1016/j.neucom.2008.04.0302-s2.0-56549089658