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Automatic term recognition and legal language: a shorter path to the lexical profiling of legal texts?

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dc.contributor.authorMarín Pérez, María José
dc.contributor.departmentFilología Inglesa
dc.date.accessioned2024-02-19T07:48:28Z
dc.date.available2024-02-19T07:48:28Z
dc.date.issued2023
dc.description© 2023 – John Benjamins B.V. The electronic edition of this book is Open Access under a CC BY-NC-ND 4.0 license. https://creativecommons.org/licenses/by-nc-nd/4.0es
dc.description.abstractNatural Language Processing (NLP) tools offer language scholars a wide array of possibilities to examine, amongst other, the lexicon in any text collection. This research was designed as an attempt to try to measure the degree of precision of three of these methods (Chung 2003; Drouin 2003; Scott 2008a) through their implementation on two corpora of Spanish and British judicial decisions which revolve around the topic of immigration. In addition, the last section of this chapter explores the lexical inventories extracted by each method (the top 500 candidate terms (CTs) in each case) by grouping them into ad hoc thematic categories, the most numerous being, as was to be expected, legal terms, followed by territory, evaluative items, crime and family.es
dc.formatapplication/pdfes
dc.format.extent62es
dc.identifier.citationHandbook of Legal Terminology (vol. 3).
dc.identifier.doihttps://doi.org/10.1075/hot.3
dc.identifier.isbn9789027249388
dc.identifier.urihttp://hdl.handle.net/10201/139462
dc.languageenges
dc.publisherJohn Benjamins B.V.es
dc.relationSin financiación externa a la Universidades
dc.relation.publisherversionhttps://www.jbe-platform.com/content/books/9789027249388es
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAutomatic Term Recognitiones
dc.subjectCorpus Linguisticses
dc.subjectLegal Englishes
dc.subjectImmigrationes
dc.subjectJudicial decisionses
dc.subjectTerminologyes
dc.subject.otherCDU::8- Lingüística y literatura::81 - Lingüística y lenguases
dc.titleAutomatic term recognition and legal language: a shorter path to the lexical profiling of legal texts?es
dc.typeinfo:eu-repo/semantics/bookPartes
dspace.entity.typePublicationes
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