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In this paper we propose a method for reducing the number of formal concepts in formal concept analysis of data with fuzzy… Expand In this chapter, we study the application of existing entity resolution (ER) techniques on a real-world multi-source genealogical… Expand The Levenshtein Nondeterministic Finite state Automaton (NFA) recognizes input strings within a set edit distance of a configured… Expand Current Translation Memory (TM) systems work at the surface level and lack semantic knowledge while matching. This paper presents… Expand Natural language processing for historical text imposes a variety of challenges, such as to deal with a high degree of spelling… Expand We investigate the structure of spherical τ-designs by applying polynomial techniques for investigation of some inner products of… Expand Many natural language applications, like machine translation and information extraction, are required to operate on text with… Expand Abstract. The Levenshtein distance between two words is the minimal number of insertions, deletions or substitutions that are… Expand We describe ongoing work in the experimental evaluation of a range of methods for measuring the phonetic distance between the… Expand In the previous chapters, we discussed problems involving an exact match of string patterns. We now turn to problems involving… Expand