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

Using Various Features in Machine Learning to Obtain High Levels of Performance for Recognition of Japanese Notational Variants Masahiro Kojima author Masaki Murata author Jun’ichi Kazama author Kow Kuroda author Atsushi Fujita author Eiji Aramaki author Masaaki Tsuchida author Yasuhiko Watanabe author Kentaro Torisawa author 2010-11 text Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation Ryo Otoguro editor Kiyoshi Ishikawa editor Hiroshi Umemoto editor Kei Yoshimoto editor Yasunari Harada editor Institute of Digital Enhancement of Cognitive Processing, Waseda University Tohoku University, Sendai, Japan conference publication kojima-etal-2010-using https://aclanthology.org/Y10-1075/ 2010-11 653 660