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The field of Information Retrieval plays an important role in searching on the Internet. Most of the information retrieval systems are limited to the query processing based on keywords. In information retrieval system the matching of the query against a set of text record is the core of the system. Retrieval of the
A natural language information retrieval system ranks related documents according to criteria based on user query keywords and document similarities. However, many efforts have been made to make more useful query keywords because users do not use many keywords in their natural language search query when retrieving
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
This paper focuses on a solution to better adapt ASR systems, whose language models (LM) are usually trained on topic-independent corpora, to new topics, in particular in the case of broadcast news. We propose a new complete and fully unsupervised technique that selects keywords from each segment using information
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.