Titlebook: String Processing and Information Retrieval; 10th International S Mario A. Nascimento,Edleno S. Moura,Arlindo L. Oli Conference proceedings

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FindStem: Analysis and Evaluation of a Turkish Stemming Algorithm this algorithm with the other two previously defined Turkish stemmers, namely ”A-F” and ”L-M” algorithms. Of them, the FINDSTEM and A-F algorithms employ inflectional and derivational stemmers, whereas the L-M one handles only inflectional rules. Comparison of stemming algorithms was done manually

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Bit-Parallel Approximate String Matching Algorithms with Transpositionorm way of modifying each of these algorithms to permit also a fourth type of edit operation: transposing two adjacent characters in the pattern. This type of edit distance is also known as the Damerau edit distance. In the end we also present an experimental comparison of the resulting algorithms.

CLASH

(S,C)-Dense Coding: An Optimized Compression Code for Natural Language Text Databasese the (.,.)-Dense Code and show how to compute the parameters . and . that optimize the compression for a specific corpus. Our empirical results show that (.,.)-Dense Code improves End-Tagged Dense Code and Tagged Huffman Code, and reaches only 0.5% overhead over plain Huffman Code.

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0302-9743 ey of recent advances in string processing and information retrieval. It includes invited and research papers presented at the 10th International Symposium on String Processing and Information Retrieval, SPIRE 2003, held in Manaus, Brazil. SPIRE 2003 received 54 full submissions from 17 countries, n

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Ranking Structured Documents Using Utility Theory in the Bayesian Network Retrieval Modelre newly arranged in the new ranking by combining their posterior probabilities, obtained in the first stage, with the expected utility of retrieving them. The experimental work has been developed using the Shakespeare structured collection and the results show an improvement of the effectiveness of this new approach.

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Current Challenges in Bioinformaticsecialized to a given topic. Some are biologically motivated, others are nice as computer science problems. Also, I tried to show the dependencies among the challenges in order to get a global picture of the area. A basic knowledge on the principles of computational biology is assumed.

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