Summary
Methods of automated indexing make use of indices with words to be sought. Mistakes made in the input text normally prevent the search to be successful. Therefore an investigation of a likely use of transformations was made in order to consider the most possible variants of spelling without allowing a great loss in the precision of indexing. For this purpose different groups of phonetic transformations were defined. Their effects were examined in regard to two different random samples of input texts: one of them consisting of texts which had to be successfully indexed, the other exclusively with examples to be rejected by the indexing algorithm. Some transformations were proven to be useful. Yet with them only the phonetical spelling errors (a small part of all occurring errors) are covered. Furthermore, significantly longer response times result. Therefore phonetic transformations benefit only when a method puts its main emphasis on a high degree of automation. On the contrary, if a semi-automated method is used, a well defined list of indexed alternatives which regards single errors in the input texts leads to an acceptable solution.
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© 1994 Springer-Verlag Berlin · Heidelberg
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Fischer, RJ. (1994). Methods of Phoneticizing in Regard to Spelling Variants of Medical Phrases. In: Bock, HH., Lenski, W., Richter, M.M. (eds) Information Systems and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46808-7_5
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DOI: https://doi.org/10.1007/978-3-642-46808-7_5
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