La densidad lexicométrica: del big data a la evidencia lingüística Authors Jorge Lázaro Universidad Autónoma de Baja California Keywords: Big Data, lexicometric density, semantic saturation, exemplification Abstract Lexicometric density: from Big Data to linguistic evidence This paper approaches Big Data from the perspective of corpus linguistics in what is called massive corpora. By the review of some research studies, and a case study, the paradigm shift in current applied linguistics is made evident. We present a proposal for automatic extraction of examples as proof of this affirmation. Downloads Download data is not yet available. Author Biography Jorge Lázaro, Universidad Autónoma de Baja California Llicenciat en llengua i literatures hispàniques per la Facultat de Filosofia i Lletres de la Universitat Nacional Autònoma de Mèxic (UNAM) i doctor en comunicació lingüística i mediació multilingüe per la Universitat Pompeu Fabra. Membre del Grup d’Enginyeria Lingüística, on va ser investigador postdoctoral (2015-2016). Ha estat professor a la Facultat de Filosofia i Lletres i a la Facultat d’Enginyeria de la UNAM. Actualment és professor investigador titular a la Facultat d’Idiomes de la Universitat Autònoma de Baixa Califòrnia. És membre del Sistema Nacional d’Investigadors del Consell Nacional de Ciència i Tecnologia de Mèxic (CONACyT). Les seves línies de recerca són la lingüística computacional, la terminologia, la lexicologia, la lexicografia computacional i la semàntica. Downloads PDF (Espanyol) (Català) PDF (Español) PDF (Spanish) Published 2019-06-29 How to Cite Lázaro, J. (2019). La densidad lexicométrica: del big data a la evidencia lingüística. Terminàlia, 1(19), 17–27. Retrieved from https://revistes.iec.cat/index.php/Terminalia/article/view/142857 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX Issue No. 19: June 2019 Section Articles License Authors registered on the OJS platform must read the copyright assignment terms and fill in the corresponding acceptance box.The intellectual property of articles belongs to the respective authors.On submitting articles for publication to the journal Terminàlia, authors accept the following terms:Authors assign to SCATERM (a subsidiary of Institut d'Estudis Catalans) the rights of reproduction, communication to the public and distribution of the articles submitted for publication to Terminàlia.Authors answer to SCATERM for the authorship and originality of submitted articles.Authors are responsible for obtaining permission for the reproduction of all graphic material included in articles.SCATERM declines all liability for the possible infringement of intellectual property rights by authors.The contents published in the journal, unless otherwise stated in the text or in the graphic material, are subject to a Creative Commons Attribution-NonCommercial-NoDerivs (by-nc-nd) 3.0 Spain licence, the complete text of which may be found at https://creativecommons.org/licenses/by-nc-nd/3.0/es/deed.en. Consequently, the general public is authorised to reproduce, distribute and communicate the work, provided that its authorship and the body publishing it are acknowledged, and that no commercial use and no derivative works are made of it.The journal is not responsible for the ideas and opinions expressed by the authors of the published articles.