An automatic approach to generate corpus in Spanish
Universidad Tecnológica de Bolívar
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A corpus is an indispensable linguistic resource for any application of natural language processing. Some corpora have been created manually or semi-automatically for a specific domain. In this paper, we present an automatic approach to generate corpus from digital information sources such as Wikipedia and web pages. The information extracted by Wikipedia is done by delimiting the domain, using a propagation algorithm to determine the categories associated with a domain region and a set of seeds to delimit the search. The information extracted from the web pages is carried out efficiently, determining the patterns associated with the structure of each page with the purpose of defining the quality of the extraction. © Springer Nature Switzerland AG 2018.
Acknowledgements. The tool presented was carried out within the construction of research capabilities of the Center for Excellence and Appropriation in Big Data and Data Analytics (CAOBA), led by the Pontificia Universidad Javeriana, funded by the Ministry of Information Technologies and Telecommunications of the Republic of Colombia (MinTIC).
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