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LexiCorp: Corpus Approach to Presentation of Lexicographic Data

    1. [1] Slovak Academy of Sciences, Ľ. Štúr Institute of Linguistics
  • Localización: Electronic lexicography in the 21st century. Proceedings of the eLex 2019 conference. 1-3 October 2019, Sintra, Portugal / Iztok Kosem (ed. lit.), Tanara Zingano Kuhn (ed. lit.), Margarita Correia (ed. lit.), José Pedro Ferreira (ed. lit.), Maarten Jansen (ed. lit.), Isabel Pereira (ed. lit.), Jelena Kallas (ed. lit.), Miloš Jakubíček (ed. lit.), Simon Krek (ed. lit.), Carole Tiberius (ed. lit.), 2019, págs. 957-969
  • Idioma: inglés
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  • Resumen
    • We present an experiment aimed at integrating XML-encoded dictionary data with corpus processing tools. Tokenized, lemmatized and PoS-tagged, the dictionary data can be processed by a traditional corpus manager such as NoSketch Engine (NoSkE), with the main benefit being the availability of ad-hoc full-text queries, as well as queries restricted to certain structure elements, without having to know too much about the internals of the respective XML encoding. Loaded with data from several Slovak dictionaries, the beta version of the dictionary portal (referred to as LexiCorp) is already used by our lexicographers. We demonstrate the LexiCorp operation in the “Simple Query” mode and the use of “Zone” attribute in queries. However, having in mind that all NoSkE functionalities are available, we can say that users of LexiCorp can now receive a powerful working tool. As NoSkE is an open-source system and implementation of LexiCorp requires just a minor modification of dictionary data and NoSkE’s CSS style(s), this approach is applicable to similar lexicographic projects as well. Though not intended to be a replacement of a fully-fledged Dictionary Writing System, it can be conveniently used to supplement functionalities that may be missing there, such as the use of regular expressions, statistics based on XML attributes, and queries related to morphological forms of search expressions.


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