Abstract
The accepted method of determining name gender is to use a probabilistic model based on observations, which fails to classify unseen names. We attempt to solve this by utilising a hyphenation-driven method which is also more space efficient.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Patman, F., Thompson, P.: In: Chen, H., et al. (eds.) ISI 2003. LNCS, vol. 2665, pp. 27–38. Springer, Heidelberg (2003)
Bilenko, M., Mooney, R.J.: Learning to combine trained distance metrics for duplicate detection in databases. Tech. Rep. Technical Report AI 02-296, Artificial Intelligence Laboratory, University of Texas at Austin, Austin, TX (February 2002)
Liang, F.M.: Word Hy-phen-a-tion by Com-put-er. PhD thesis, Department of Computer Science, Stanford University, Stanford, CA 94305 (August 1983)
Tolpin, D.: TeX Hyphenator in Java (2003), http://www.davidashen.net/
Department, F.H.: The GEDCOM Standard Release 5.5. The Church of Jesus Christ of Latterday Saints (January 1996), http://www.gendex.com/gedcom55/55gctoc.htm
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Warren, R.H., Leurer, C. (2004). Determining the Gender of the Unseen Name through Hyphenation. In: Chen, H., Moore, R., Zeng, D.D., Leavitt, J. (eds) Intelligence and Security Informatics. ISI 2004. Lecture Notes in Computer Science, vol 3073. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25952-7_43
Download citation
DOI: https://doi.org/10.1007/978-3-540-25952-7_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22125-8
Online ISBN: 978-3-540-25952-7
eBook Packages: Springer Book Archive