TY - JOUR
T1 - Sociolinguistic Features for Author Gender Identification: From Qualitative Evidence to Quantitative Analysis
AU - Mporas, Iosif
N1 - This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Quantitative Linguistics on 7 October 2016, available online: http://www.tandfonline.com/10.1080/09296174.2016.1226430.
The Accepted Manuscript is under embargo. Embargo end date: 7 April 2018.
PY - 2017/1/2
Y1 - 2017/1/2
N2 - Theoretical and empirical studies prove the strong relationship between social factors and the individual linguistic attitudes. Different social categories, such as gender, age, education, profession and social status, are strongly related with the linguistic diversity of people’s everyday spoken and written interaction. In this paper, sociolinguistic studies addressed to gender differentiation are overviewed in order to identify how various linguistic characteristics differ between women and men. Thereafter, it is examined if and how these qualitative features can become quantitative metrics for the task of gender identification from texts on web blogs. The evaluation results showed that the “syntactic complexity”, the “tag questions”, the “period length”, the “adjectives” and the “vocabulary richness” characteristics seem to be significantly distinctive with respect to the author’s gender.
AB - Theoretical and empirical studies prove the strong relationship between social factors and the individual linguistic attitudes. Different social categories, such as gender, age, education, profession and social status, are strongly related with the linguistic diversity of people’s everyday spoken and written interaction. In this paper, sociolinguistic studies addressed to gender differentiation are overviewed in order to identify how various linguistic characteristics differ between women and men. Thereafter, it is examined if and how these qualitative features can become quantitative metrics for the task of gender identification from texts on web blogs. The evaluation results showed that the “syntactic complexity”, the “tag questions”, the “period length”, the “adjectives” and the “vocabulary richness” characteristics seem to be significantly distinctive with respect to the author’s gender.
KW - Sociolinguistics
KW - gender identification
KW - t-test
KW - statistical analysis
U2 - 10.1080/09296174.2016.1226430
DO - 10.1080/09296174.2016.1226430
M3 - Article
SN - 0929-6174
VL - 24
SP - 65
EP - 84
JO - Journal of Quantitative Linguistics
JF - Journal of Quantitative Linguistics
IS - 1
ER -