Home // eKNOW 2014, The Sixth International Conference on Information, Process, and Knowledge Management // View article


Malay Semantic Text Processing Engine

Authors:
Benjamin Chu
Qiang Liu
Rohana Mahmud
Arun Anand
Weng Onn Kow
Dickson Lukose

Keywords: Natural Language Processing; Semantic Text Understanding; Morphology Analysis; Semantic Text Interpretation.

Abstract:
Semantic Text Understanding is a process that transforms text into conceptual representation. In this paper, we propose a Text Understanding System for Malay Language. The system comprises of two components: Morphology Analyzer and Semantic Text Interpreter. Some initial evaluation experiments were conducted on these components to gain explanatory insights into its performance. All the current text processing systems we reviewed are focused on preliminary algorithms and rules associated to lexical, morphological and syntax analysis. In our paper, we developed an integrated approach for a text understanding system that has the ability to represent the semantics of the text.

Pages: 38 to 43

Copyright: Copyright (c) IARIA, 2014

Publication date: March 23, 2014

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-329-2

Location: Barcelona, Spain

Dates: from March 23, 2014 to March 27, 2014