Syllable Alignment: A Novel Model for Phonetic String Search

Authors:
Ruibin Gong;Tony K.Y. Chan
Affiliations:
The authors are with the School of Computer Engineering, Nanyang Technological University, Singapore. E-mail: gongrb@pmail.ntu.edu.sg, E-mail: askychan@ntu.edu.sg;The authors are with the School of Computer Engineering, Nanyang Technological University, Singapore. E-mail: gongrb@pmail.ntu.edu.sg, E-mail: askychan@ntu.edu.sg
Venue:
IEICE - Transactions on Information and Systems
Year:
2006

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Abstract

Phonetic string search of written text is an important topic in Information Retrieval. While most of the previous methods convert a string into intermediate codes with phonetic transformation rules, this paper proposes a novel algorithm to segment two phonetic strings into syllables and find the optimal pairing of the corresponding syllables to calculate their similarity score. The experiment shows that this method is very effective and flexible. It can be easily adapted to different datasets and achieves optimal performance on average.