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Lista de candidatos sometidos a examen:
1) gender variable (*)
(*) Términos presentes en el nuestro glosario de lingüística
1) Candidate: gender variable
Is in goldstandard
1
paper CO_ColombianAppliedLinguisticsJournaltxt231 - : The general goal of this work is to study the effect of the gender variable on lexical innovation within the articles and blogs of three Spanish newspapers: ABC, El País, and La Vanguardia . To meet this goal, we perform a quantitative analysis to determine, on the one hand, if there is a difference in the number of neologisms used by women and men, and, on the other hand, if there is a correlation between the type of formation used in these lexical units and gender. Despite the fact that the existing literature still defends the perspective that women are linguistically more conservative and that men are more innovative, we hypothesize that the gender variable will not have a relevant effect on the lexical innovation of current Spanish press texts.
2
paper CO_ColombianAppliedLinguisticsJournaltxt231 - : To control for the gender variable, we selected the same number of texts for each gender: from the 116 press articles, 56 were written by women and 60 by men, and from the 60 blog texts, 30 were written by women and 30 by men . All analyzed texts are recent with publication dates between January and September 2011. We carried out a manual count of terms to identify the neological units according to the lexicographical criteria cited above. If the neologism candidate was already registered in our corpus of exclusion (the Diccionario VOXUSO and the Diccionario de la Real Academia Española de la Lengua), we did not consider it as neological. Following this procedure, we obtained 109 neologisms in the newspaper articles and 102 neologisms in the blog texts. We then registered them in a database containing the following information: source publication, publication date, section (for newspapers), title, author, author’s gender (M = male, F = female), word count, neologisms found and, finally, the
Evaluando al candidato gender variable:
2) neologisms: 4 (*)
3) texts: 3 (*)
4) publication: 3 (*)
5) articles: 3
6) lexical: 3 (*)
gender variable
Lengua: eng
Frec: 9
Docs: 3
Nombre propio: / 9 = 0%
Coocurrencias con glosario: 4
Puntaje: 5.177 = (4 + (1+4.08746284125034) / (1+3.32192809488736)));
Candidato aceptado