|Department of Engineering|
|University of Cambridge > Engineering Department > Machine Intelligence Lab|
EFFECTS OF OUT OF VOCABULARY WORDS IN SPOKEN DOCUMENT RETRIEVAL
P.C. Woodland, S.E. Johnson, P. Jourlin & K. Sparck Jones
The effects of out-of-vocabulary (OOV) items in spoken document retrieval (SDR) are investigated. Several sets of transcriptions were created for the TREC-8 SDR task using a speech recognition system varying the vocabulary sizes and OOV rates, and the relative retrieval performance measured.
The effects of OOV terms on a simple baseline IR system and on more sophisticated retrieval systems are described. The use of a parallel corpus for query and document expansion is found to be especially beneficial, and with this data set, good retrieval performance can be achieved even for fairly high OOV rates.
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