DocumentCode
3740833
Title
Detecting KIRAKIRA Japanese names focusing on usage of Kanji characters
Author
Ryosuke Yamanishi;Junpei Oizumi;Yoko Nishihara;Junichi Fukumoto
Author_Institution
College of Information Science and Engineering, Ritsumeikan University, 1-1-1, Nojihigashi, Kusatsu, Shiga 525-8577, Japan
fYear
2015
Firstpage
523
Lastpage
526
Abstract
This paper proposes a method to detect KIRAKIRA (KK) Japanese names that mean strange and unusual names. The proposed method focuses on usage of Kanji characters such as number of characters and syllables, unknown pronunciation of Kanji, number of stroke count for Kanji and mismatching of gender and Kanji. Based on the above features, KK names are automatically detected by using Support Vector Machine. Through the experiments to detect KK names, it was confirmed that the proposed method well detect KK names for 81.8% accuracy, 76.9% precision, and 91.8% recall.
Keywords
"Pragmatics","Feature extraction","Support vector machines","Databases","Interviews","Focusing","Data models"
Publisher
ieee
Conference_Titel
Consumer Electronics (GCCE), 2015 IEEE 4th Global Conference on
Type
conf
DOI
10.1109/GCCE.2015.7398525
Filename
7398525
Link To Document