An adaptive model for phonetic string search

Authors:
Gong Ruibin;Chan Kai Yun
Affiliations:
School of Computer Engineering, Nanyang Technological University, Singapore, Republic of Singapore;School of Computer Engineering, Nanyang Technological University, Singapore, Republic of Singapore
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2005

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Abstract

Phonetic string search of written text is an important topic in Information Retrieval (IR). A major difficulty is the inconsistencies between relevance judgements, which makes it possible for a successful method to fail with a new dataset. This paper discusses an adaptive model based on the novel syllable alignment pattern searching algorithm. Experimental results show that it is convenient and effective to be trained for different datasets.