This paper deals with how humans search electronic dictionaries. It raises the point that users often make dictionary searches with misspellings, with inflected words copied and pasted from elsewhere, with complete sentences or fragments thereof, and with other kinds of low-quality input, and suggests methods for dealing with such phenomena in a preemptive manner. The issues addressed include searching with inflections, dealing with multi-word items, misspelling detection and text normalization. Additionally, the value of log files is emphasized as a source of information on user behaviour.
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