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Author Li, Yuk-Chi ♦ Meng, Helen M.
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Average Inverse Rank ♦ Cross-language Spoken Document Retrieval ♦ Document Expansion ♦ Monolingual Retrieval Experiment ♦ Spoken Document ♦ Retrieval Performance ♦ Overall Performance ♦ Text Query ♦ Relative Improvement ♦ English Textual Query ♦ Experimental Result ♦ Side Collection ♦ Mandarin Broadcast News ♦ News Document ♦ Multi-scale Syllable-based Approach ♦ Document Retrieval ♦ Cross-language Sdr System
Description This paper presents a method of document expansion using a side collection for improving the overall performance in retrieving spoken documents using text queries. This method is applied to Chinese spoken document retrieval (SDR) tasks where a series of experiments have been carried out for both monolingual and cross-language SDR systems. In our monolingual retrieval experiments, Cantonese broadcast news documents are retrieved using a multi-scale syllable-based approach. Experimental results show that application of document expansion can achieve an improvement of 56 % in average inverse rank (AIR). For the cross-language spoken document retrieval (CL-SDR) task where Mandarin broadcast news is retrieved using English textual queries, experimental results show that the use of document expansion has brought 14 % relative improvement in retrieval performance.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2003-01-01
Publisher Institution in Proceedings of the ISCA workshop on multilingual spoken document retrieval