Title :
Constructing field association words using new weight functions of concurrent words
Author :
Atlam, El-Sayed ; Elmarhomy, Ghada ; Fuketa, M. ; Morita, K. ; Aoe, Jun-Ichi
Author_Institution :
Dept. of Inf. Sci. & Intelligent Syst., Tokushima Univ., Japan
Abstract :
In this paper, the importance of co-occurrence information in the NLP system, the classification technique of the co-occurrence word are introduced. This paper proposes a new method for deciding FA terms using the weight of co-occurrence and declinable words which related to a narrow association category with eliminating FA terms ambiguity.
Keywords :
classification; natural languages; word processing; NLP system; concurrent words; field association word construction; new weight functions; Cellular neural networks; Electronic mail; Frequency; Information retrieval; Information science; Intelligent systems; System testing;
Conference_Titel :
Active Media Technology, 2005. (AMT 2005). Proceedings of the 2005 International Conference on
Print_ISBN :
0-7803-9035-0
DOI :
10.1109/AMT.2005.1505329