@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}, }