Rule generation to determine the gender of a speaker of a Japanese sentence
Kanako Komiya, Koji Fujimoto, Yashuhiro Ajima, Yoshiyuki Kotani · 2008
Some work has been reported on the problem of automatically determining the gender of a document's author as a part of researches to extract features of a document's author. Japanese language has expressions called masculine/feminine expression, and they can often indicate the gender of a speaker of a conversational sentence. The computer system needs this mechanism to make or understand natural Japanese conversational sentences. The authors made a system that determines the suitable gender of a speaker of a single conversational sentence and named it gender-determining system (GDS). It generates a set of rules to determine the more suitable gender of a speaker of a sentence automatically, by decision tree learning. The authors employed six linguistic features for each of two morphemes at the end of a sentence and presence or absence of morphemes whose part of speech is a general pronoun or a particle for ending as features of decision tree learning. The authors calculated the accuracy of GDS using the cross validation method and it was approximately 69.3% when human could answer the same problem with approximately 71.7%.