Identifying Quotations in Reference Works and Primary Materials

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Abstract

Identifying quotations from reference works in primary materials is a very important feature for digital libraries. By adding corresponding citation links to the original text, we can help contextualize the source material. In this paper we introduce an algorithm for identifying citations automatically based on an analysis of the structure of quotations from three different reference works of Latin texts. An evaluation shows that this approach is capable of finding a large number of quotations with which no machine actionable citations are associated. Additionally this approach can be applied for quotations that have been altered in a range of ways from their source.