Using Various Features in Machine Learning to Obtain High Levels of Performance for Recognition of Japanese Notational Variants

Masahiro Kojima, Masaki Murata, Jun’ichi Kazama, Kow Kuroda, Atsushi Fujita, Eiji Aramaki, Masaaki Tsuchida, Yasuhiko Watanabe, Kentaro Torisawa


Anthology ID:
Y10-1075
Volume:
Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation
Month:
November
Year:
2010
Address:
Tohoku University, Sendai, Japan
Venue:
PACLIC
SIG:
Publisher:
Institute of Digital Enhancement of Cognitive Processing, Waseda University
Note:
Pages:
653–660
Language:
URL:
https://www.aclweb.org/anthology/Y10-1075
DOI:
Bib Export formats:
BibTeX MODS XML EndNote
PDF:
http://aclanthology.lst.uni-saarland.de/Y10-1075.pdf