Query expansion using phonetic confusions for Chinese spoken document retrieval

Authors:
Yuk-Chi Li;Wai-Kit Lo;Helen M. Meng;P. C. Ching
Affiliations:
Department of Systems Engineering and Engineering Management and The Chinese University of Hong Kong;Department of Electronic Engineering, The Chinese University of Hong Kong;Department of Systems Engineering and Engineering Management and The Chinese University of Hong Kong;Department of Electronic Engineering, The Chinese University of Hong Kong
Venue:
IRAL '00 Proceedings of the fifth international workshop on on Information retrieval with Asian languages
Year:
2000

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Abstract

This paper presents a method of query expansion based on phonetic confusions for retrieving spoken documents using text queries. This method is applied to a Chinese spoken document retrieval task. A series of experiments have been carried out for Cantonese broadcast news documents using a multi-scale syllable-based retrieval approach. Our results show an improvement from AIR (average inverse rank) of 0.481 to 0.491 when we apply query expansion based on phonetic confusions to our retrieval task.