Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Modern Information Retrieval
Managing Gigabytes: Compressing and Indexing Documents and Images
Managing Gigabytes: Compressing and Indexing Documents and Images
Indexing for fast categorisation
ACSC '03 Proceedings of the 26th Australasian computer science conference - Volume 16
How many bits are needed to store probabilities for phrase-based translation?
StatMT '06 Proceedings of the Workshop on Statistical Machine Translation
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Search algorithms in most current text retrieval systems use index data structures extracted from the original text documents. In this paper we focus on reducing the size of the indices by reducing the amount of space dedicated to store term frequencies. In experiments using TREC Ad Hoc [2, 3] corpora and query sets, we show that it is possible to store the term frequency in only two bits without decreasing retrieval performance.