Syllable Alignment: A Novel Model for Phonetic String Search

Ruibin GONG
Tony K.Y. CHAN

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E89-D    No.1    pp.332-339
Publication Date: 2006/01/01
Online ISSN: 1745-1361
DOI: 10.1093/ietisy/e89-d.1.332
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Natural Language Processing
Keyword: 
information retrieval,  string search,  phonetic string,  name string,  

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Summary: 
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.

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