WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/5867,
	  title     = {Determining the Gender of Korean Names for Pronoun Generation},
	  author    = {Seong-Bae Park and  Hee-Geun Yoon},
	  country	= {},
	  institution	= {},
	  abstract     = {It is an important task in Korean-English machine
translation to classify the gender of names correctly. When a sentence
is composed of two or more clauses and only one subject is given as a proper noun, it is important to find the gender of the proper noun
for correct translation of the sentence. This is because a singular pronoun has a gender in English while it does not in Korean. Thus,
in Korean-English machine translation, the gender of a proper noun should be determined. More generally, this task can be expanded into the classification of the general Korean names. This paper proposes a statistical method for this problem. By considering a name as just
a sequence of syllables, it is possible to get a statistics for each name from a collection of names. An evaluation of the proposed method
yields the improvement in accuracy over the simple looking-up of the
collection. While the accuracy of the looking-up method is 64.11%, that of the proposed method is 81.49%. This implies that the proposed
method is more plausible for the gender classification of the Korean names.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {1},
	  number    = {8},
	  year      = {2007},
	  pages     = {2642 - 2646},
	  ee        = {https://publications.waset.org/pdf/5867},
	  url   	= {https://publications.waset.org/vol/8},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 8, 2007},
	}