DocumentCode
3429300
Title
Identifying Text Objects Based on Expansion
Author
Ohkubo, Kohta ; Miura, Takao
Author_Institution
Hosei Univ., Tokyo
fYear
2007
fDate
22-24 Aug. 2007
Firstpage
253
Lastpage
256
Abstract
In this investigation, we propose a sophisticated approach to identify items in several dictionaries for the purpose of integration. To identity synonymous words efficiently, we discuss IR approach based on vector space modeling to sentences in item explanations, without any knowledge of grammatical analysis or any other NLP analysis. We show the usefulness by some experimental results.
Keywords
dictionaries; natural language processing; text analysis; dictionaries; grammatical analysis; item explanation; sentences; synonymous words; text object identification; vector space modeling; Character generation; Dictionaries; Frequency; Functional analysis; Humans; Internet; Natural languages; Scalability; Speech; Thesauri; Dictionary; Expansion; Object Identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Computers and Signal Processing, 2007. PacRim 2007. IEEE Pacific Rim Conference on
Conference_Location
Victoria, BC
Print_ISBN
978-1-4244-1189-4
Electronic_ISBN
1-4244-1190-4
Type
conf
DOI
10.1109/PACRIM.2007.4313223
Filename
4313223
Link To Document