{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T00:26:19Z","timestamp":1777854379273,"version":"3.51.4"},"reference-count":25,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2003,4,1]],"date-time":"2003-04-01T00:00:00Z","timestamp":1049155200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Information Science"],"published-print":{"date-parts":[[2003,4]]},"abstract":"<jats:p>Often users of information retrieval systems and document authors use different terms to refer to the same concept. For this simple reason, information retrieval is affected by the \u2018term mismatch\u2019 problem. The term mismatch problem does not only have the effect of hindering the retrieval of relevant documents, it also produces bad rankings of relevant documents. A similar problem can be found in spoken document retrieval, where terms misrecognized by the speech recognition process can hinder the retrieval of potentially relevant spoken documents. We will call this problem \u2018term misrecognition\u2019, by analogy to the term mismatch problem. This paper presents two classes of retrieval models that attempt to tackle both the term mismatch and the term misrecognition problems at retrieval time using term similarity information. The models use either complete or partial knowledge of semantic and phonetic term similarity, evaluated using statistical methods from the corpus.<\/jats:p>","DOI":"10.1177\/016555150302900201","type":"journal-article","created":{"date-parts":[[2004,12,17]],"date-time":"2004-12-17T20:36:35Z","timestamp":1103315795000},"page":"87-96","source":"Crossref","is-referenced-by-count":9,"title":["Combination of similarity measures for effective spoken document retrieval"],"prefix":"10.1177","volume":"29","author":[{"given":"Fabio","family":"Crestani","sequence":"first","affiliation":[{"name":"University of Strathclyde, Glasgow, Scotland, UK,"}]}],"member":"179","published-online":{"date-parts":[[2003,4,1]]},"reference":[{"key":"atypb1","volume-title":"Information Retrieval","author":"C.J. van Rijsbergen","year":"1979","edition":"2"},{"key":"atypb2","first-page":"960","volume-title":"Proceedings of the 8th Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems","author":"F. Crestani"},{"key":"atypb3","volume-title":"Automatic Information Organization and Retrieval","author":"G. Salton","year":"1968"},{"key":"atypb4","first-page":"275","volume-title":"Proceedings of ACM SIGIR","author":"J. Ponte"},{"key":"atypb5","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/35.3.268"},{"key":"atypb6","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9"},{"key":"atypb7","unstructured":"[7] J. Xu, Solving the word mismatch problem through automatic text analysis.                 Ph.D. Thesis, Department of Computer Science (University of Massachusetts, Amherst,                 MA, May 1997)."},{"key":"atypb8","doi-asserted-by":"publisher","DOI":"10.1109\/ADL.2000.848368"},{"key":"atypb9","doi-asserted-by":"publisher","DOI":"10.1016\/0306-4573(95)00077-1"},{"key":"atypb10","first-page":"107","volume-title":"Proceedings of the TREC Conference","author":"J.S. 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Wong","year":"1987","journal-title":"ACM Transactions on Information Systems"},{"key":"atypb20","first-page":"939","volume-title":"Proceedings of International Conference on Spoken Language Processing","author":"K. Ng, Towards"},{"key":"atypb21","unstructured":"[21] F. Crestani, On the use of term similarity to approach the term mismatch                 problem in information retrieval (submitted)."},{"key":"atypb22","first-page":"1323","volume-title":"Eurospeech 97","author":"J. Barnett"},{"key":"atypb23","doi-asserted-by":"publisher","DOI":"10.1145\/345508.345552"},{"key":"atypb24","first-page":"76","volume-title":"Proceedings of ACL 27","author":"K.W. 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