Displaying similar documents to “Automatic Identification of False Friends in Parallel Corpora: Statistical and Semantic Approach”

Using Discourse Context to Interpret Object-Denoting Mathematical Expressions

Wolska, Magdalena, Grigore, Mihai, Kohlhase, Michael

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We present a method for determining the context-dependent denotation of simple object-denoting mathematical expressions in mathematical documents. Our approach relies on estimating the similarity between the linguistic context within which the given expression occurs and a set of terms from a flat domain taxonomy of mathematical concepts; one of 7 head concepts dominating a set of terms with highest similarity score to the symbol’s context is assigned as the symbol’s interpretation....

Foreword

Mieczysław Kłopotek, Adam Przepiórkowski, Sławomir Wierzchoń (2010)

Control and Cybernetics

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Tuning the Zhu-Takaoka string matching algorithm and experimental results

Thomas Berry, Somasundaram Ravindran (2002)

Kybernetika

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In this paper we present experimental results for string matching algorithms which have a competitive theoretical worst case run time complexity. Of these algorithms a few are already famous for their speed in practice, such as the Boyer–Moore and its derivatives. We chose to evaluate the algorithms by counting the number of comparisons made and by timing how long they took to complete a given search. Using the experimental results we were able to introduce a new string matching algorithm...

Minimal decision rules based on the apriori algorithm

María Fernández, Ernestina Menasalvas, Óscar Marbán, José Peña, Socorro Millán (2001)

International Journal of Applied Mathematics and Computer Science

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Based on rough set theory many algorithms for rules extraction from data have been proposed. Decision rules can be obtained directly from a database. Some condition values may be unnecessary in a decision rule produced directly from the database. Such values can then be eliminated to create a more comprehensible (minimal) rule. Most of the algorithms that have been proposed to calculate minimal rules are based on rough set theory or machine learning. In our approach, in a post-processing...