Abstract
This paper presents a method of automatic recognition of pronunciation-translated names (P-Names) based on support vector machines (SVMs): extracting the character itself, character-based part-of-speech (POS) tag, frequency information of a character in P-Name table and context information as the attributes of feature vectors, a training set is established. The machine learning models of automatic identification of P-Names based on support vector machines are obtained using polynomial kernel functions. The testing results show that this method is efficient for identifying pronunciation-translated names.
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Li, L., Chen, C., Huang, D., Yang, Y. (2004). Identifying Pronunciation-Translated Names from Chinese Texts Based on Support Vector Machines. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks – ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28647-9_162
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DOI: https://doi.org/10.1007/978-3-540-28647-9_162
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22841-7
Online ISBN: 978-3-540-28647-9
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