A LINGUAXE NON BINARIA DIRECTA (@, A/O, O/A, X, *, E) E A PERSPECTIVA DE XÉNERO NO CORGA
Direct Non-Binary Language (@, a/o, o/a, x, *, e) and the Gender Perspective in CORGA

Author(s): Eva María Domínguez Noya, María Sol López Martínez
Subject(s): Cultural history, Theoretical Linguistics, Applied Linguistics, Other Language Literature, Theory of Literature
Published by: Wydawnictwa Uniwersytetu Warszawskiego
Keywords: corpus; non-binary language; gender perspective; annotation; Galician language
Summary/Abstract: This paper focuses on how the available resources for information retrieval in linguistic corpora can be enhanced by considering the gender perspective. It takes a two-fold approach: on the one hand, the morphosyntactic annotation of inclusive language is explored and, on the other, an author’s gender is taken into account as a new search option. To this end, the 'Current Galego Reference Corpus' ('Corpus de Referencia do Galego Actual', CORGA) is first described, and the options provided for direct non-binary language retrieval are contrasted with those existing in the 'Spanish Twenty-First Century Corpus' ('Corpus del Español del Siglo XXI', CORPES). Using a generic or inclusive value in the gender field in CORGA has significantly improved search results since it allows to retrieve words showing this feature and to present data on how often they occur - globally and by particular forms. The frequency and distribution of available options (amig@, amigo/a, amiga/o, amigx, amig*, amigue) in CORGA is then analysed, both in quantitative and qualitative terms. Next, other Galician, Catalan, Portuguese and Spanish corpora are examined to see whether they include specific metadata or search fields regarding an author’s gender. The article concludes that this parameter could be very helpful both in oral and written discourse. Additionally, distinguishing between the author and the interlocutor/speaker/character fi elds could facilitate studying speech differences between women and men, as well as allow gender cross-searches in those fields.

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