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both manual and automatic transcriptions, for non-English documents, we use automatic translations. In this work, we use AdaBoost, a discriminative classification method with both lexical and semantic features. The results indicate 11%-13% relative improvement over a baseline keyword-spotting-based approach. We also show
language and then start processing but that would increase the time complexity. In this system, query is in form of keyword in any of the language either Hindi or English. The corpus is of Allahabad museum consisting of images and documents. All the stored documents related to Allahabad museum are in English language. The
approach is a rule-based system. Rules are built based on the predefined crime indicator list that contains some important keywords. Even though the system is still under development, the initial results are promising.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.