Search Contact information
University of Cambridge Home Department of Engineering
University of Cambridge > Engineering Department > Machine Intelligence Lab

Abstract for jourlin_sigir99

Proc. ACM SIGIR 99 (Berkeley, California, August 1999)

IMPROVING RETRIEVAL ON IMPERFECT SPEECH TRANSCRIPTIONS

P. Jourlin, S.E. Johnson, K. Sparck Jones & P.C. Woodland

August 1999

This paper presents the results from adding several forms of query expansion to our retrieval system running on several sets of transcriptions of broadcast news from the 1997 TREC-7 spoken document retrieval track.

Retrieving documents which originated as speech is complicated by the presence of errors in the transcriptions. If some method of increasing retrieval performance despite these errors could be found, then even low-accuracy automatically generated transcriptions could be used as part of a successful spoken document retrieval (SDR) system. This paper presents results using four query expansion techniques described in previous work on 8 different sets of transcriptions generated for the 1997 TREC-7 SDR evaluation.


| (ftp:) jourlin_sigir99.ps.gz | (http:) jourlin_sigir99.ps.gz | (ftp:) jourlin_sigir99.pdf | (http:) jourlin_sigir99.pdf | (http:) jourlin_sigir99.html/ |

If you have difficulty viewing files that end '.gz', which are gzip compressed, then you may be able to find tools to uncompress them at the gzip web site.

If you have difficulty viewing files that are in PostScript, (ending '.ps' or '.ps.gz'), then you may be able to find tools to view them at the gsview web site.

We have attempted to provide automatically generated PDF copies of documents for which only PostScript versions have previously been available. These are clearly marked in the database - due to the nature of the automatic conversion process, they are likely to be badly aliased when viewed at default resolution on screen by acroread.

© 2005 Cambridge University Engineering Dept
Information provided by milab-maintainer