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    Rights statement: This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Quantitative Linguistics on 07/10/2016, available online: http://www.tandfonline.com/10.1080/09296174.2016.1226430

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Sociolinguistic Features for Author Gender Identification: From Qualitative Evidence to Quantitative Analysis.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Sociolinguistic Features for Author Gender Identification: From Qualitative Evidence to Quantitative Analysis. / Simaki, Vasiliki; Aravantinou, Christina; Mporas, Iosif et al.
In: Journal of Quantitative Linguistics, Vol. 24, No. 1, 2017, p. 65-84.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Simaki, V, Aravantinou, C, Mporas, I, Kondyli, M & Megalooikonomou, V 2017, 'Sociolinguistic Features for Author Gender Identification: From Qualitative Evidence to Quantitative Analysis.', Journal of Quantitative Linguistics, vol. 24, no. 1, pp. 65-84. https://doi.org/10.1080/09296174.2016.1226430

APA

Simaki, V., Aravantinou, C., Mporas, I., Kondyli, M., & Megalooikonomou, V. (2017). Sociolinguistic Features for Author Gender Identification: From Qualitative Evidence to Quantitative Analysis. Journal of Quantitative Linguistics, 24(1), 65-84. https://doi.org/10.1080/09296174.2016.1226430

Vancouver

Simaki V, Aravantinou C, Mporas I, Kondyli M, Megalooikonomou V. Sociolinguistic Features for Author Gender Identification: From Qualitative Evidence to Quantitative Analysis. Journal of Quantitative Linguistics. 2017;24(1):65-84. Epub 2016 Oct 7. doi: 10.1080/09296174.2016.1226430

Author

Simaki, Vasiliki ; Aravantinou, Christina ; Mporas, Iosif et al. / Sociolinguistic Features for Author Gender Identification : From Qualitative Evidence to Quantitative Analysis. In: Journal of Quantitative Linguistics. 2017 ; Vol. 24, No. 1. pp. 65-84.

Bibtex

@article{9acbfadcf2674409aee1a6928b20e01a,
title = "Sociolinguistic Features for Author Gender Identification: From Qualitative Evidence to Quantitative Analysis.",
abstract = "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{\textquoteright}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{\textquoteright}s gender.",
author = "Vasiliki Simaki and Christina Aravantinou and Iosif Mporas and Marianna Kondyli and Vasileios Megalooikonomou",
note = "This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Quantitative Linguistics on 07/10/2016, available online: http://www.tandfonline.com/10.1080/09296174.2016.1226430 ",
year = "2017",
doi = "10.1080/09296174.2016.1226430",
language = "English",
volume = "24",
pages = "65--84",
journal = "Journal of Quantitative Linguistics",
issn = "0929-6174",
publisher = "Routledge",
number = "1",

}

RIS

TY - JOUR

T1 - Sociolinguistic Features for Author Gender Identification

T2 - From Qualitative Evidence to Quantitative Analysis.

AU - Simaki, Vasiliki

AU - Aravantinou, Christina

AU - Mporas, Iosif

AU - Kondyli, Marianna

AU - Megalooikonomou, Vasileios

N1 - This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Quantitative Linguistics on 07/10/2016, available online: http://www.tandfonline.com/10.1080/09296174.2016.1226430

PY - 2017

Y1 - 2017

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.

U2 - 10.1080/09296174.2016.1226430

DO - 10.1080/09296174.2016.1226430

M3 - Journal article

VL - 24

SP - 65

EP - 84

JO - Journal of Quantitative Linguistics

JF - Journal of Quantitative Linguistics

SN - 0929-6174

IS - 1

ER -