DocumentCode
2499371
Title
Computational verb similarity between verbs with distortions of time
Author
Sun, Juanjuan ; Yang, Tao
Author_Institution
Dept. of Electron. Eng., Xiamen Univ., Xiamen, China
fYear
2011
fDate
24-26 June 2011
Firstpage
77
Lastpage
80
Abstract
Computational verb similarities(CVS) play critical roles in researches and applications of computational verb theory. In the existing literature, CVS was mainly calculated between two computational verbs, of which the life spans are the same. In this paper, by taking advantages of different data processing algorithms, the methods of calculating the CVS between computational verbs of which the life spans are different and the time axis is subjected to distortions.
Keywords
computational linguistics; matrix algebra; sequences; computational verb similarity; computational verb theory; data processing algorithm; longest common subsequence; time axis; time distortion; Heuristic algorithms; Indexes; Signal processing algorithms; Speech processing; Speech recognition; Time measurement; Time series analysis; Computational verb similarity; dynamic time warping(DTW); longest comment subsequence (LCS); standed verb;
fLanguage
English
Publisher
ieee
Conference_Titel
Anti-Counterfeiting, Security and Identification (ASID), 2011 IEEE International Conference on
Conference_Location
Xiamen
ISSN
Pending
Print_ISBN
978-1-61284-631-6
Type
conf
DOI
10.1109/ASID.2011.5967420
Filename
5967420
Link To Document