Title: Machine learning techniques for decoding GP sentences: effects of processing breakdown

Authors: Jiali Du; Pingfang Yu

Addresses: Lexicographical Research Center/School of Foreign Studies, Guangdong University of Foreign Studies/Nanjing University, Guangzhou, Guangdong Province 510420/Nanjing, Jiangsu Province, 210093, China ' Faculty of Chinese Culture and Language, Guangdong University of Foreign Studies, Guangzhou, Guangdong Province 510420, China

Abstract: This paper discusses the decoding of garden path sentences by machine learning technologies. The parsing of garden path sentence comprises the pseudo- and genuine-analysis. The pseudo-decoding leads to processing breakdown and backtracking. The genuine-decoding is the result of integration of machine learning knowledge and linguistic cognition of human beings. Context free grammar, recursive transition network and CYK algorithm can be used to decode garden path sentences effectively and efficiently. Machine learning development needs the involvement of linguistic and computational information.

Keywords: machine learning; computational linguistics; garden path sentences; processing breakdown; intelligent systems; decoding; parsing; backtracking; context free grammar; recursive transition networks; CYK algorithm.

DOI: 10.1504/IJRIS.2015.072944

International Journal of Reasoning-based Intelligent Systems, 2015 Vol.7 No.3/4, pp.177 - 185

Received: 01 Dec 2014
Accepted: 15 Dec 2014

Published online: 09 Nov 2015 *

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